Abstract: A physiological information measurement apparatus is configured to acquire a vital sign that is based on a physiological signal of a subject, and a captured image or a signal for generating the captured image that is acquired from an imaging device. The physiological information measurement apparatus includes a storage unit configured to store therein an electronic file, and a control unit configured to display at least one of the captured image and information of the vital sign on a display unit. At an image recording timing when an image recording instruction is provided, the control unit stores both the captured image and the information of the vital sign in the storage unit in an image format.

Abstract: This disclosure describes techniques for improving accuracy of machine learning systems in facial recognition. The techniques include generating, from a training image comprising a plurality of pixels and labeled with a plurality of facial landmarks, one or more facial contour heatmaps, wherein each of the one or more facial contour heatmaps depicts an estimate of a location of one or more facial contours within the training image. Techniques further include training a machine learning model to process the one or more facial contour heatmaps to predict the location of the one or more facial contours within the training image, wherein training the machine learning model comprises applying a loss function to minimize a distance between the predicted location of the one or more facial contours within the training image and corresponding contour data generated from facial landmarks of the plurality of facial landmarks with which the training image is labeled.

Abstract: An operation image positioning method is disclosed. A point-cloud camera captures a point-cloud image of first and second positioning marks respectively fixed on a treated portion and an X-ray imaging machine. The first and second positioning marks within the point-cloud image are recognized to compute a first conversion module between the point-cloud camera and the treated portion and a second conversion module between the point-cloud camera and the X-ray imaging machine, thereby computing a third conversion module between the treated portion and the X-ray imaging machine. An image positioning camera captures a positioning image of the first positioning mark. The first positioning mark within the positioning image is recognized to compute a fourth conversion module between the image positioning camera and the treated portion. A fifth conversion module between the image positioning camera and the X-ray imaging machine is computed according to the third and fourth conversion modules.

Abstract: A semiconductor inspection method by an observation system includes a step of acquiring a first pattern image showing a pattern of a semiconductor device, a step of acquiring a second pattern image showing a pattern of the semiconductor device and having a different resolution from a resolution of the first pattern image, a step of learning a reconstruction process of the second pattern image using the first pattern image as training data by machine learning, and reconstructing the second pattern image into a reconstructed image having a different resolution from a resolution of the second pattern image by the reconstruction process based on a result of the learning, and a step of performing alignment based on a region calculated to have a high degree of certainty by the reconstruction process in the reconstructed image and the first pattern image.

Abstract: Described are a system (200) and method arranged to provide improved geocoded reference data to a 3D map representation. The system comprises a storage (201) having stored thereupon a 3D map representation comprising a textured 3D representation provided with geocoded reference data and formed based on imagery, the imagery being associated to information relating to at least one imaging device which has captured the imaging. The system comprises further a processor (208) arranged to receive at least one new image associated to information related to an imaging device which has captured the new image, perform registration of the new image to the 3D map representation, determine corresponding points in the new image and the 3D map representation, and determine displacement data for a plurality of 3D positions in the 3D map representation based on the determined corresponding points in the new image and the 3D map representation.

Abstract: A method of producing a computer-generated image of a component part includes receiving scan data of the component part. The scan data includes a plurality of slices that change direction about a normal vector. The method further includes registering the scan data of the component part and transforming the scan data of the component part into a set of slices arranged in an x-y plane. Further, the method includes aligning the set of slices aligned along the axis along an axis in the x-y plane. In addition, the method includes adjusting the set of slices aligned along the axis using a background model for the component part, the scan data, or both. Thus, the method includes applying a directional filter to the set of slices aligned along the axis and generating the computer-generated image of the component part using the filtered set of slices aligned along the axis.

Abstract: An image processing device according to one embodiment estimates first optical flow information of a pixel unit on the basis of consecutive frames, and estimates a polynomial model corresponding to the optical flow information. The image processing device estimates second optical flow information of holes included in the frames on the basis of the polynomial model, and inpaints an input image on the basis of the first optical flow information and/or the second optical flow information.

Abstract: A dense optical flow calculation system and method based on an FPGA (Field Programmable Gate Array) are provided. The system comprises a software system deployed on a host and a dense optical flow calculation module deployed on the FPGA. Pixel information of two continuous frames of pictures is obtained from a host end in the system, and optical flow is obtained by calculation by means of the steps such as smoothing processing, polynomial expansion, intermediate variable calculation, optical flow calculation. An image pyramid and iterative optical flow calculation can be achieved by repeatedly calling a calculation core module in the FPGA; a final calculation result is returned to the host end.

Abstract: A method includes performing a substrate processing process by carrying a substrate into a chamber, and disposing the substrate in a loading region of the chamber, capturing an image of a lower surface of the substrate to acquire a first image, identifying particle patterns formed on the lower surface of the substrate in the substrate processing process, and an edge of the substrate, from the first image, calculating a first alignment error value of a deviation between an approximate position value for the center of the loading region calculated from the particle patterns and an approximate position value for a center of the substrate calculated from the edge of the substrate, and determining a point in time for teaching a transfer robot that deposits the substrate into the chamber, based on the first alignment error value.

Abstract: A computing component implemented as part of a vehicle architecture and configured to process point cloud data. The computing component comprising one or more programmable logics that, when executed, cause the computing component to generate one or more transformations to align scans of point cloud data, translate the aligned scans of the point cloud data to a universal coordinate system, and generate addresses and offsets to store the aligned scans of the point cloud data.

Abstract: Technologies for determining the accuracy of three-dimensional models include a device having circuitry to obtain two-dimensional images of an anatomical object (e.g., a bone of a human joint), to obtain a candidate three-dimensional model of the anatomical object, and to produce two-dimensional silhouettes of the candidate three-dimensional model. The circuitry is also to apply an edge detection algorithm to the two-dimensional images to produce corresponding edge images and to compare the two-dimensional silhouettes to the edge images to produce a score indicative of an accuracy of the candidate three-dimensional model.

Abstract: A method, apparatus and computer program product are provided for improving localization of a device. In order to improve the localization, a coarse location of the device is determined and a feature is identified in an image captured by an image capture unit associated with the device. The feature is represented with one or more points or lines within an image plane and a projection is determined of the one or more points or lines from the image plane to a ground plane. At one or more location points defined relative to the coarse location of the device, map data is compared to the projection of the one or more points or lines representative of the feature identified in the image. Based on the comparison, a refined location of the device is determined.

Abstract: An image processing method includes a step of acquiring, from an image data acquisition device and a three-dimensional data acquisition device that are calibrated, a plurality of pieces of unit image data in which image data and three-dimensional data are associated with each other, for a target object, for each angle of view of the image data acquisition device; a step of estimating a plane, based on a plurality of pieces of three-dimensional data included in the plurality of pieces of unit image data; a step of acquiring image group data by grouping a plurality of pieces of image data included in a plurality of pieces of unit image data belonging to the estimated plane; and a step of selecting image data necessary to form the plane from among the plurality of pieces of image data included in the image group data. Thus, image data can be reduced.

Abstract: A method for calibrating a camera without the decomposition of camera parameters into extrinsic and intrinsic components is provided. Further, there is provided a method for tracking an object in motion comprising capturing one or more image frames of an object in motion, using one or more calibrated cameras that have been calibrated according to a calibration method that generates and uses a respective transformation matrix for mapping three-dimensional (3D) real world model features to corresponding two-dimensional (2D) image features. The tracking method further comprises determining, using a hardware processor, motion characteristics of the object in motion based on the captured one or more image frames from each one or more calibrated cameras, the determining of the motion characteristics based on implicit intrinsic camera parameters and implicit extrinsic camera parameters of the respective transformation matrix from each respective one or more calibrated cameras.

Abstract: The present invention provides an excavation system capable of improving the work efficiency at a worksite. An excavation device (20) excavates an object (80) treated as an excavation target at an excavation spot. A first detection device (2) is installed at an excavation spot away from the excavation device (20). The first detection device (2) detects information related to the object (80) at the excavation spot. A control device (10) transmits, to the excavation device (20), control information related to operations of the excavation device (20) based on target location data indicating the position of the object (80), which corresponds to information related to the object (80). The excavation device (20) executes operations for excavation in accordance with the control information.

Abstract: Systems and methods for registration of image pairs, including camera response function normalization are disclosed and include selecting a pair of images from a set of images, each of the pair of images having associated metadata, determining a camera response function for each of the images in the pair of images using the associated metadata, normalizing each camera response function for across the set of images, and applying the normalized camera response function to the pair of images. A deformation map is generated in a multi-scale process using registration parameters, to deform one of the pair of images to align with another of the pair of images. The image pairs may be selected by identifying image pairs having an overlap that exceeds an overlap threshold, having a sequential proximity in an image series satisfying a proximity threshold, and/or having estimated image capture attitudes within an attitude threshold.

Abstract: An example disclosed method includes (i) transmitting a first point cloud to a client, wherein the first point cloud corresponds to a reference point cloud, (ii) receiving a second point cloud, and (iii) hierarchically determining changes in the second point cloud from the reference point cloud, wherein hierarchically determining the changes includes (a) identifying first areas in the second point cloud that have changed from the reference point cloud, and (b) for a first area having a highest priority, determining a first rigid 3D transformation that approximates a first change from the reference point cloud, and if the first rigid 3D transformation cannot be determined, further determining first points to be used to modify the reference point cloud, wherein the first points are representative of the first change.

Abstract: Techniques for generating an enhanced image. A first image is generated using a first camera of a first modality, and a second image is generated using a second camera of a second modality. Pixels that are common between the two images are identified. Textures for the common pixels are determined. Saliencies of the two images are determined, where the saliencies reflect amounts of texture variation present in those images. An alpha map is generated and reflects edge detection weights that have been computed for each one of the common pixels based on the two saliencies. A determination is made as to how much texture from the first and/or second images to use to generate an enhanced image. This determining process is based on the edge detection weights included within the alpha map. Based on the edge detection weights, textures are merged from the common pixels to generate the enhanced image.

Abstract: A computer-implemented method for an augmented-reality system is provided. The computer-implemented method comprises obtaining sensed data, representing an environment in which the AR system is located, determining that the AR system is in a location associated with a first authority characteristic, and controlling access to the sensed data for one or more applications operating in the AR system. Each of the one or more applications is associated with a respective authority characteristic. Controlling access to the sensed data for a said application is performed in dependence on the first authority characteristic and a respective authority characteristic associated with the said application. An AR system comprising one or more sensors, storage for storing sensed data, one or more application modules, and one or more processors arranged to perform the computer-implemented method is provided.

Abstract: A retina image template matching method is based on the registration and comparison between the images captured with portable low-cost fundus cameras (e.g., a consumer grade camera typically incorporated into a smartphone or tablet computer) and a baseline image. The method solves the challenges posed by registering small and low-quality retinal template images captured with such cameras. Our method combines dimension reduction methods with a mutual information (MI) based image registration technique. In particular, principle components analysis (PCA) and optionally block PCA are used as a dimension reduction method to localize the template image coarsely to the baseline image, then the resulting displacement parameters are used to initialize the MI metric optimization for registration of the template image with the closest region of the baseline image.

Abstract: A VR (Virtual Reality) simulator projects or displays a virtual space image on a screen installed at a position distant from a user in a real space and not integrally moving with the user. More specifically, the VR simulator acquires a real user position being a position of the user's head in the real space. The VR simulator acquires a virtual user position being a position in a virtual space corresponding to the real user position. Then, the VR simulator acquires the virtual space image by imaging the virtual space by using a camera placed at the virtual user position in the virtual space, based on virtual space configuration information indicating a configuration of the virtual space. Here, the VR simulator performs a lens shift process that shifts a lens of the camera such that the entire screen fits within a field of view of the camera.

Abstract: Iris image pick-up devices perform image pick-up of an iris of a moving subject. Images from the iris image pick-up devices are written to storage areas for transfer in a memory. A readout device reads out an image stored in the storage areas for transfer to a storage area for image processing at a frame interval corresponding to the movement speed of the subject. An image processing unit executes processing using the image read out to the storage area for image processing.

Abstract: Methods, systems, and computer-readable media for registering electromagnetic navigation data of a luminal network to a 3D model of the luminal network includes accessing a 3D model of a luminal network based on computed tomographic (CT) images of the luminal network, the 3D model corresponding to a CT coordinate space, selecting a plurality of reference points within the 3D model of the luminal network, accessing a plurality of survey points within the luminal network, the plurality of survey points being based on electromagnetic navigation data and corresponding to a body coordinate space, correlating the plurality of reference points and the plurality of survey points to determine pairs of correlated reference points and survey points; and deriving a transformation that maps the body coordinate space to the CT coordinate space based on the pairs of correlated reference points and survey points.

Abstract: A VR (Virtual Reality) simulator projects or displays a virtual space image on a screen installed at a position distant from a user in a real space and not integrally moving with the user. More specifically, the VR simulator acquires a real user position being a position of the user's head in the real space. The VR simulator acquires a virtual user position being a position in a virtual space corresponding to the real user position. Then, the VR simulator acquires the virtual space image by imaging the virtual space by using a camera placed at the virtual user position in the virtual space, based on virtual space configuration information indicating a configuration of the virtual space. Here, the VR simulator performs a lens shift process that shifts a lens of the camera such that the entire screen fits within a field of view of the camera.

Abstract: Embodiments of the present invention discloses an imaging calibration method and apparatus for a dual-light camera and a dual-light camera. A thermal imaging image including a first calibration frame image and a visible light image including a second calibration frame image are acquired. The first calibration frame image and the second calibration frame image are images of a same calibration frame respectively photographed by a thermal imaging camera and a visible light camera. First position information of the first calibration frame image in the thermal imaging image and second position information of the second calibration frame in the visible light image are acquired. Calibration parameters are generated according to the first position information and the second position information. A position of the thermal imaging image synthesized in the visible light image in the visible light image is adjusted according to the calibration parameters.

Abstract: A medical marking device, consisting of a radiotransparent plate having a plurality of radiopaque elements embedded therein in a predefined pattern. The device also has a sigmoid mounting arm having a first end connected to the radiotransparent plate and a second end containing one or more fastening receptacles.

Abstract: An appliance and method for automated visual inspection of at least two items from different categories, on a production line, include automatically switching between an item profile of a first of the at least two items for inspection; and an item profile of a second of the at least two items for inspection, based on detection of the first item in an image of the production line.

Abstract: The present disclosure relates to a technology field of artificial intelligence and provides a method for selecting image samples and related equipment. The method trains an instance segmentation model with first image samples and trains a score prediction model with third image samples. An information quantum score of second image samples is calculated through the score prediction model and feature vectors extracted. The second image samples are clustered according to the feature vectors of the second image samples and sample clusters of the second image samples are obtained. Target image samples are selected from the second image samples according to the information quantum score of the second image samples and the sample clusters. Target image samples from the image samples are selected for labelling, improving an accuracy of sample selection.

Abstract: Examples of methods for object deformation determination are described herein. In some examples, a method includes aligning a first bounding box of a three-dimensional (3D) object model with a second bounding box of a scan. In some examples, the method includes determining a deformation between the 3D object model and the scan based on the alignment.

Abstract: A dynamically controlled cooling device includes a stand having deployable legs for positioning the stand on a floor in a selectable position. A fan is coupled to the stand. A fan direction motor is coupled to the stand for selectively rotating the fan relative to the stand. A camera having a targeting function for identifying a person within a field of vision of the camera is coupled to the fan. A processor is operationally coupled to the camera and the fan direction motor to rotate the fan to point at the person.

Abstract: A disparity image fusion method for multiband stereo cameras belongs to the field of image processing and computer vision. The method obtains pixel disparity confidence information by using the intermediate output of binocular disparity estimation. The confidence information can be used to judge the disparity credibility of the position and assist disparity fusion. The confidence acquisition process makes full use of the intermediate output of calculation, and can be conveniently embedded into the traditional disparity estimation process, with high calculation efficiency and simple and easy operation. In the disparity image fusion method for multiband stereo cameras proposed by the method, the disparity diagrams participating in the fusion are obtained according to the binocular images of the corresponding bands, which makes full use of the information of each band and simultaneously avoiding introducing uncertainty and errors.

Abstract: Disclosed biopsy markers are adapted to serve as localization markers during a surgical procedure. Adaptation includes incorporation of materials detectable under ultrasound during surgery, as well as features for co-registration with image guidance or other real-time imaging technologies during surgery. Such biopsy markers, when used as localization markers, improve patient comfort and reduce challenges in surgical coordination and surgery time. Additional disclosed biopsy markers are adapted to serve as monitoring and/or detection apparatuses, Localization of an implanted marker may be done with ultrasound technology. Ultrasound image data is analyzed to identify the implanted marker. A distance to the marker or a lesion may be determined and displayed. The determined distance may be a distance between the ultrasound probe and the marker or lesion, a distance between the marker or lesion and an incision instrument, and/or a distance between the ultrasound probe and the incision instrument.

Abstract: A medical image processing apparatus includes processing circuitry configured to receive first volume data and second volume data; set a first symmetry plane for the first volume data and a second symmetry plane for the second volume data; and conduct a registration of the first volume data and the second volume data based on the first symmetry plane and the second symmetry plane.

Abstract: According to one or more embodiments, an image processing device includes a storage device and a processor. The storage device stores a plurality of time-series images. The processor extracts one or more feature points of a first image of the time-series images, sets a search range for one or more corresponding points of the feature points in a second image of the time-series images, searches for the one or more corresponding points in the search range of the second image, if there are a plurality of corresponding points searched, associates the searched corresponding points with the feature points based on a positional relationship between the corresponding points.

Abstract: An apparatus, system, method, and a control program on a recording medium are provided, each of which: acquires first point cloud data, and second point cloud data different from the first point cloud data; sets a plurality of search start positions each used for alignment form the first point cloud data to the second point cloud data; searches, for each of one or more of the plurality of search start positions, a solution candidate for coordinate transformation from the first point cloud data to the second point cloud data, to generate a plurality of solution candidates; and determines a final solution, from the plurality of solution candidates.

Abstract: Techniques for providing improved optical character recognition (OCR) for receipts are discussed herein. Some embodiments may provide for a system including one or more servers configured to perform receipt image cleanup, logo identification, and text extraction. The image cleanup may include transforming image data of the receipt by using image parameters values that optimize the logo identification, and performing logo identification using a comparison of the image data with training logos associated with merchants. When a merchant is identified, a second image clean up may be performed by using image parameter values optimized for text extraction. A receipt structure may be used to categorize the extracted text. Improved OCR accuracy is also achieved by applying on format rules of the receipt structure to the extracted text.

Abstract: The present disclosure relates to an image registration method and a model training method thereof. The image registration method comprises obtaining a reference image and a floating image to be registered, performing image preprocessing on the reference image and the floating image, performing non-rigid registration on the preprocessed reference image and floating image to obtain a registration result image, and outputting the registration result image. The image preprocessing comprises performing, on the reference image and the floating image, coarse-to-fine rigid registration based on iterative closest point registration and mutual information registration. The non-rigid registration uses a combination of a correlation coefficient and a mean squared error between the reference image and the registration result image as a loss function.

Abstract: An image processing system having at least one processor configured to: obtain a captured image of a document that includes a fixed part and an un-fixed part, the document being captured by an image reader or an image capture device; detect a feature part of the fixed part based on the captured image; obtain, in a case where the feature part is detected, a shaped image of the captured image such that a positional relationship of the feature part is aligned with a predetermined first positional relationship; and search for, in a case where the feature part is not detected, a substitute feature part of the fixed part based on the captured image, wherein in a case where the feature part is not detected, the at least one processor obtains the shaped image such that a position of the substitute feature part is aligned with a predetermined second position.

Abstract: The invention provides a system and related equipment for the precise measurement of the output characteristic of a light source, e.g., a dental light curing unit (LCU) or light for photodynamic therapy, using a light collector, a light detector, and a computer programmed to deliver the value of the output characteristic of the light source to the user. The systems allow for the determination of a proper exposure time or the selection of a light source as needed for a specific application.

Abstract: An apparatus for correcting a road region includes a processor configured to segment a road region extracted from an aerial image and representing a road into a plurality of partial road regions; associate, for each of the partial road regions, the partial road region with a road section existing at the location of the partial road region, the road section being indicated by map information indicating locations of respective road sections; and correct the road region so as to cover, for each of the partial road regions, the road section corresponding to the partial road region.

Abstract: Technologies for determining the accuracy of three-dimensional models include a device having circuitry to obtain two-dimensional images of an anatomical object (e.g., a bone of a human joint), to obtain a candidate three-dimensional model of the anatomical object, and to produce two-dimensional silhouettes of the candidate three-dimensional model. The circuitry is also to apply an edge detection algorithm to the two-dimensional images to produce corresponding edge images and to compare the two-dimensional silhouettes to the edge images to produce a score indicative of an accuracy of the candidate three-dimensional model.

Abstract: Methods, apparatus and computer software products implement embodiments of the present invention that include applying energy to a probe that is in contact with tissue in a body cavity so as to ablate the tissue. While applying the energy, signals are received from a location transducer in the probe, which are indicative of a location of the probe in the cavity. The signals are processed so as to derive 3D location coordinate points corresponding to the location of the probe at a sequence of times during which the energy was applied. While applying the energy, a 3D representation of the body cavity is rendered to a display, and visual indicators are superimposed on the 3D representation, the visual indicators corresponding to the 3D location coordinate points at the sequence of times. Finally, a linear trace connecting the coordinate points in accordance with the sequence is superimposed on the 3D representation.

Abstract: A method for decoding a 360-degree image includes: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Here, generating the prediction image includes: checking, from the syntax information, prediction mode accuracy for a current block to be decoded; determining whether the checked prediction mode accuracy corresponds to most probable mode (MPM) information obtained from the syntax information; and when the checked prediction mode accuracy does not correspond to the MPM information, reconfiguring the MPM information according to the prediction mode accuracy for the current block.

Abstract: Systems, instruments, and methods for medical treatment are disclosed. The methods comprise, by a computing device: receiving information identifying at least one first point on a body part shown in a medical image; overlaying a first mark on the medical image for the at least one first point; generating a spline based at least on the first mark; overlaying a second mark for the spline on the medical image; identifying a location of at least one second point on the body part shown in the medical image based on the first and second marks; overlaying a third mark for the at least one second point on the medical image; and using at least the third mark to facilitate the medical treatment of an individual whose body part is shown in the medical image.

Abstract: Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.

Abstract: A reduced noise image can be formed from a set of images. One of the images of the set can be selected to be a reference image and other images of the set are transformed such that they are better aligned with the reference image. A measure of the alignment of each image with the reference image is determined. At least some of the transformed images can then be combined using weights which depend on the alignment of the transformed image with the reference image to thereby form the reduced noise image. By weighting the images according to their alignment with the reference image the effects of misalignment between the images in the combined image are reduced. Furthermore, motion correction may be applied to the reduced noise image.

Abstract: A method for rescue support involves distributing transponder devices to individuals in a geographic region and causing the transponder devices to be activated. If a large-scale emergency situation occurs, a fleet of unmanned aerial vehicles are operated within the geographic region to receive distress signals transmitted by the activated transponder devices. A computer system processes the distress signals to obtain detection data for the individuals, the detection data comprising a location of the respective transponder device and a health status of the respective individual. The computer system generates, based on the location and health status of the respective individual, a prioritization chart for the geographic region, the prioritization chart being indicative of one or more sub-regions to be prioritized for a rescue operation.

Abstract: Technology described herein includes a method that includes obtaining a set of color-coded sequences, each of which includes a sequence of colors. Each color-coded sequence has auto-correlation properties characterized by a merit factor larger than a first predetermined threshold, and cross-correlation properties among the color-coded sequences characterized by a demerit factor lower than a second predetermined threshold. A color-coded sequence is randomly selected from the set of color-coded sequences. A subject is illuminated in accordance with the sequence of colors in the selected color-coded sequence. A sequence of images of the subject are captured, and are temporally synchronized with illumination by the color-coded sequence. A filtered response image is generated from the sequence of images by a matched filtering process. Based on the filtered response image, it is determined that the subject is an alternative representation of a live person. In response, access to a secure system is prevented.

Abstract: Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.

Abstract: A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.