Abstract: A processor receives first intraoral scan data comprising a first depiction of a dental site; generates a virtual three-dimensional (3D) model of the dental site using the first intraoral scan data; and processes at least one of the first intraoral scan data or data from the virtual 3D model to identify an unclear feature. The processor outputs instructions to generate second intraoral scan data of the dental site depicting the portion of the dental site that is unclear; receives the second intraoral scan data; and updates the virtual 3D model of the dental site using the second intraoral scan data, wherein the portion of the dental site that was unclear in the virtual 3D model is replaced with information from the second intraoral scan data.

Abstract: A machine vision based automatic needle cannula inspection system includes an inspection and control unit, image capture devices, light sources, a unit that makes the needle cannula and the image capture device(s) rotate relative to each other, and a rejected part removal unit. By means of rotating the needle cannula and image capture devices relatively, a plurality of images captured along the circumferential direction of the needle cannula are directly saved to a computer, the images are then screened, processed and analyzed to fulfill the automatic inspection of multiple quality and technical parameters of the needle cannula without the need to position the bevel area of cannula tip to a specific direction. Inspection parameters and accuracy can be set at any time, the system can automatically record classification and statistics of passed and rejected needle cannulas for query, and the rejected cannula are removed automatically at next position.

Abstract: This disclosure relates to detecting prostate cancer. A processor receives image data indicative of a computed tomography scan comprising a spatial sequence of two-dimensional cross-sectional images. The processor then applies a neural network to the image data by calculating three-dimensional convolutions in one or more convolutional layers of the neural network and evaluating an output layer. A first dimension of the convolutions is defined in space along the spatial sequence of the two-dimensional cross-sectional images. The three-dimensional convolutions comprise convolutions along the first dimension. The output layer is connected to the one or more convolutional layers in the neural network, and has an output value that is indicative of a probability of detecting prostate cancer in the computed tomography scan. Three-dimensional convolutions in the neural network provide a more accurate probability of detecting prostate cancer.

Abstract: Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

Abstract: A vehicle control system includes an imaging device configured to capture an image of a travel route on which a vehicle is traveling, and a delimiting line estimating unit configured to estimate a position of a delimiting line on the travel route based on the image captured by the imaging device. The delimiting line estimating unit is configured to generate a first delimiting point sequence, generate a second delimiting point sequence that is offset rearward in a vehicle travel direction with respect to the first delimiting point sequence, generate a corrected delimiting point sequence based on the first delimiting point sequence and the second delimiting point sequence, and estimate the position of the delimiting line on the travel route based on the corrected delimiting point sequence.

Abstract: Disclosed herein are methods for reducing beam-hardening artifacts in CT imaging using a mapping operator that comprises a hybrid spectral model that incorporates air scan X-ray intensity data acquired at two different effective mean energies. In one variation, the air scan X-ray intensity data acquired during a calibration session is combined with an ideal spectral model for each X-ray detector to derive the hybrid spectral mode. A mapping operator based on the hybrid spectral model is used to correct beam-hardening artifacts in the acquired CT projection data. In some variations, the mapping operator is a lookup table of monochromatic (corrected) projection values, and the acquired CT projection data is used to calculate the index of the lookup table entry that contains the corrected projection value that corresponds with the acquired CT projection data.

Abstract: The present disclosure discloses systems and method for real-time continuous lane mapping. The technique comprising receiving an input image of a road captured by an image sensor mounted on a vehicle; extracting one or more feature vectors from the image; extracting lane mark coefficients and lane type features from the one or more extracted feature vectors; detecting a lane mark by computing the coefficients and applying a pre-learned value; comparing the lane type relating to right and/or left lane markings with a predefined lane class; classifying the left and/or right lane markings based on the comparison and applying a pre-learned value; and generating a lane map along with the lane markings. The step of the lane detection and the classification is performed simultaneously based on the one or more extracted feature vectors.

Abstract: Provided are systems and methods that perform multi-task and/or multi-sensor fusion for three-dimensional object detection in furtherance of, for example, autonomous vehicle perception and control. In particular, according to one aspect of the present disclosure, example systems and methods described herein exploit simultaneous training of a machine-learned model ensemble relative to multiple related tasks to learn to perform more accurate multi-sensor 3D object detection. For example, the present disclosure provides an end-to-end learnable architecture with multiple machine-learned models that interoperate to reason about 2D and/or 3D object detection as well as one or more auxiliary tasks. According to another aspect of the present disclosure, example systems and methods described herein can perform multi-sensor fusion (e.g.

Abstract: A computer-implement method includes receiving one or more images from one or more sensors, outputting the one or more images at a display, outputting an automatic segmentation line of the one or more portions of the image in response to an object identified in the one or more images, and in response to one or more inputs received at the system associated with a correction, outputting a correction line on the display associated with the object, wherein the correction line automatically adjust one or more vertices associated with an incorrect portion of the automatic segmentation, wherein the one or more vertices are adjusted in response to the one or more inputs.

Abstract: A scanning image generation apparatus is provided and includes an image information acquisition unit for scanning grid points of an object and for acquiring, on the basis of the scanned grid points, items of image information that represent an image. An evaluation unit has a software routine for evaluating at least some of the items of image information and for classifying the items of image information as usable or unusable on the basis of the evaluation. The apparatus also includes a release unit which enables an image recording if the evaluated items of image information are classified as usable by the evaluation unit. The scanning image generation apparatus moreover includes a memory with at least one quality profile stored thereon. The quality profile contains a person-specific software routine for evaluating and classifying the items of image information. The software routine is loadable into the evaluation unit.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain an image capturing a space in which a manipulation is being performed on an examined subject and non-image information related to at least one of the manipulation, the examined subject, or the space. Also, the processing circuitry is configured to detect a situation having a high possibility for an occurrence of an abnormality in the space, on the basis of the obtained image, the obtained non-image information, and first correspondence information. The first correspondence information indicates a correspondence relationship between two or more images capturing the space, non-image information, and abnormalities having a high possibility of occurring in the space.

Abstract: The present disclosure provides a method for table extraction. The method includes: extracting a screen picture corresponding to a screen content of the touch control display device in response to an operation instruction; detecting the screen picture to obtain a second table corresponding to the first table contained in the screen picture; obtaining text information in the screen picture; and establishing a matching relationship between the second table and the text information to obtain the second table containing a text. When a user needs to save the screen content, the user may trigger extraction of the screen picture. Next, the second table corresponding to the first table in the screen picture and text information in the second table may be automatically extracted, and the second table and the text information are saved as a destination document.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: Methods for improving object recognition using depth data are disclosed. An image is captured of a 3-D scene along with depth data, such as in the form of a point cloud. The depth data is correlated with the image of the captured scene, such as by determining the frame of reference of each of the image and the depth data, thereby allowing the depth data to be mapped to the correct corresponding pixels of the image. Object recognition on the image is then improved by employing the correlated depth data. The depth data may be captured contemporaneously with the image of the 3-D scene, such as by using photogrammetry, or at a different time.

Abstract: An image processing method includes obtaining an input image, the input image includes object regions, and each object region includes at least one object; identifying the object regions to obtain object region labeling frames; establishing a first coordinate system based on the input image, the object region labeling frames are located in the first coordinate system; mapping the object region labeling frames from the first coordinate system to a second coordinate system according to a reference value to obtain first region labeling frames corresponding to the object region labeling frames, the first region labeling frames are located in the second coordinate system; performing expansion processing on the first region labeling frames to obtain expanded second region labeling frames; and mapping the second region labeling frames from the second coordinate system to the first coordinate system according to the reference value to obtain table region labeling frames.

Abstract: The present application discloses a method and apparatus for identifying an updated road, a device and a computer storage medium, and relates to the field of big data technologies. A specific implementation solution is as follows: comparing a road area extracted based on the latest satellite image with a road area extracted based on a historical satellite image, to obtain a candidate updated road; mapping the candidate updated road into road network data according to a coordinate position of the candidate updated road; acquiring a user trajectory set corresponding to the candidate updated road within a recent preset period; and identifying, based on a matching result between the user trajectory set and the road network data, whether the candidate updated road is an actual updated road. Updated roads can be more accurately identified through the method according to the present application.

Abstract: The present invention provides an unsupervised domain adaptive segmentation network comprises a feature extractor configured for extracting features from a 3D MRI scan image; a decorrelation and whitening module configured for preforming decorrelation and whitening transformation on the extracted features to obtain whitened features; a domain-specific feature translation module configured for translating domain-specific features from a source domain into a target domain for adapting the unsupervised domain adaptive network to the target domain; and a classifier configured for projecting the whitened features into a zonal segmentation prediction. By implementing the domain-specific feature translation module for transferring the knowledge learned from the labeled source domain data to unlabeled target domain data, domain gap between the source and target data can be narrowed.

Abstract: A computing system for generating predicted images along a trajectory of unseen viewpoints. The system can obtain one or more spatial observations of an environment that may be captured from one or more previous camera poses. The system can generate a three-dimensional point cloud for the environment from the one or more spatial observations and the one or more previous camera poses. The system can project the three-dimensional point cloud into two-dimensional space to form one or more guidance spatial observations. The system can process the one or more guidance spatial observations with a machine-learned spatial observation prediction model to generate one or more predicted spatial observations. The system can process the one or more predicted spatial observations and image data with a machine-learned image prediction model to generate one or more predicted images from the target camera pose. The system can output the one or more predicted images.

Abstract: The present invention is related to, among other things, the devices and methods that improve the accuracy and reliability of an assay, even when the assay device and/or the operation of the assay device has certain errors, and in some embodiments the errors are random.

Abstract: A system and a method for automatically identifying mitosis in H&E stained breast cancer pathological images are provided, belonging to the technical field of digital image processing, and including an input image preprocessing module: cutting an original picture according to a predetermined patch size, and performing a data enhancement by means of picture flipping, rotation, and the like; and a segmentation module: training a segmentation network by cutting patches in a training set, cutting data of a test set according to a corresponding size and sending to the segmentation network to obtain a patch-level segmentation result, and then reconstructing a segmented result into an image belonging to an original size according to patch coordinate information intercepted in a preprocessing stage of it.