Abstract: The present disclosure relates to systems, methods, and computer-readable storage media for segmenting medical image. Embodiments of the present disclosure may locate and track a moving, three-dimensional (3D) target in a patient undergoing image-guided radiation therapy. For example, an adaptive filter model for a region of interest in the patient may be received, wherein the adaptive filter model is based on the target to be tracked. An image acquisition device may obtain a two-dimensional (2D) slice of a region of interest in the patient. A processor may then apply the adaptive filter model to the 2D slice, wherein the adaptive filter model includes an offset value. The processor may also determine a location of the target in the 2D slice based on the adaptive filter model. The processor may also estimate a potential location of the target based on the offset value. The processor may then repeat one or more of the above steps to track the moving target during image-guided radiation therapy of the patient.

Abstract: An enhanced medical images processing method and a computing device includes: acquiring series of enhanced medical images and detecting a phase of each enhanced medical image in the series of enhanced medical images using a pre-trained 3D convolutional neural network model. A plurality of target enhanced medical images from the enhanced medical image are selected according to the phases. A plurality of interest images is obtained by identifying and segmenting an interest region in each of the plurality of target enhanced medical images, and finally registering the plurality of interest images. The registered images have clear phase markers and are all spatially aligned, allowing a subsequent doctor or clinician to directly use the registered interest images for diagnosis without the need to rescan the patient.

Abstract: An artificial intelligence device mounted on a wine refrigerator including one or more divided spaces includes an input unit, a processor, and an output unit. The input unit is configured to recognize a wine label of each space and recognize an image for determining opening or non-opening of a wine. The processor is configured to acquire wine information by using an artificial intelligence model that receives image data acquired from the input unit as an input value, create a wine list table of each space by using the acquired information, and group wines having the same storage condition into at least one group according to the wine list table, and perform a control such that a temperature of each space is set based on the storage condition of the group. The output unit is configured to output a signal received from the processor.

Abstract: A framework for quantitative evaluation of time-varying data. In accordance with one aspect, the framework delineates a volume of interest in a four-dimensional (4D) Digital Subtraction Angiography (DSA) dataset (204). The framework then extracts a centerline of the volume of interest (206). In response to receiving one or more user-selected points along the centerline (208), the framework determines at least one blood dynamics measure associated with the one or more user-selected points (210), and generates a visualization based on the blood dynamics measure (212).

Abstract: A method and an apparatus for preload display of object information are provided. The method includes following steps: capturing an external object information on a side of the transparent display opposite to a user by using the first information capturing device; pre-identifying at least one object in the external object information and tracing the at least one object according to an identification result; capturing information of the user by using the second information capturing device for pre-identifying and tracing a pointing range of the user, and determining whether the traced objects appear within the pointing range; and preload displaying object information of the objects appearing within the pointing range on the transparent display.

Abstract: The present disclosure relates to performing an unrolled iterative reconstruction of image data. Such approaches may include use of neural networks used for one or both of data fidelity and/or image update steps, resulting in improved image quality and accelerated reconstruction for various imaging modalities including CT, PET and MR.

Abstract: The present disclosure is directed to a computer system designed to (i) receive a series of images as input; (ii) compute a number of metrics derived from focus features and color separation features within the images; and (iii) evaluate the metrics to return (a) an identification of the most suitable z-layer in a z-stack, given a series of z-layer images in a z-stack; and/or (b) an identification of those image tiles that are more suitable for cellular based scoring by a medical professional, given a series of image tiles from an area of interest of a whole slide scan.

Abstract: Systems, devices, methods, and computer processing products for automatically checking for errors in segmentation (contouring) using heuristic and/or statistical evaluation methods.

Abstract: Method and apparatus for monitoring eating behavior are disclosed. A wearable device including an imaging sensor, an electromyography (EMG) sensor, and a processing unit is configured to collect EMG data via the EMG sensor, transmit the EMG data to a computing device, receive a control signal to capture one or more images via the imaging sensor, capture, one or more images, and transmit the one or more images. A computing device is disclosed including a processor and a memory containing a machine learning model and computer program code that, when executed, performs an operation. The operation includes receiving EMG data, processing the EMG data as input to a trained machine learning model, transmitting the control signal to capture one or more images via the imaging sensor, receiving the one or more images, and determining nutritional content of the food or beverage using the one or more images.

Abstract: A method for rapid antibiotic susceptibility testing by tracking sub-micron scale motion of single bacterial cells including obtaining a biological sample from a subject including live bacteria. Different doses of antibiotic are added to a multi-well glass slide and adding portions of the biological sample to the wells. Bacterial cells are tethered onto the surface. The tethered bacterial cells are imaged and tracked. Bacterial sub-micron motion of tethered cells is measured at the different doses. A processor performs statistical analysis on a population of cells for each antibiotic dose to generate an antibiotic dose curve proportional to the motion changes, where the antibiotic dose curve plots data including a decrease in movement over time indicating a proportional effectiveness of an antibiotic applied to a well.

Abstract: A system and method for retrieval of similar images related to query images is provided. The query images are pre-processed for noise removal by selecting filtering technique based on noise variance estimation in each query image with respect to pre-set noise variance threshold value. The pre-processed query images are pre-classified for determining class one image identifier. Image types are generated from pre-processed query images for determining class two image identifier. Features are extracted from pre-classified query images based on class one image identifier and from generated images based on class two image identifier. The images similar to query images are retrieved which have features similar to extracted features of pre-classified query images and generated images. The retrieved similar images are ranked for determining most similar images with respect to query images. Similarity between query images and retrieved similar images is analyzed for re-ranking retrieved similar images.

Abstract: When performing nuclear medicine image reconstruction, lesion proxies (208) are introduced by a clinician and merged with real acquired scan data outside or inside the patient in the patient image. By monitoring the image attributes of the lesion proxies during reconstruction and processing, reconstruction and processing parameters can be dynamically adapted or adjusted in order to optimize image quality and quantitation to improve delivery of precise, personalized medical treatment.

Abstract: An operating method of a touch sensor includes sensing first touch intensities in a first touch-sensing area by using first touch cells, sensing second touch intensities in a second touch-sensing area that is adjacent to the first touch-sensing area by using second touch cells each having an area that is smaller than that of each of the first touch cells, grouping some second touch cells among the second touch cells as a touch-sensing group having a same area as one of the first touch cells, calculating a representative touch intensity of the touch-sensing group by using the second touch intensities sensed by second touch cells in the touch-sensing group, and detecting a touch position by using the first touch intensities and the representative touch intensity.

Abstract: An image data processing method is provided for a mobile terminal. The method includes receiving by a first electronic device first image data of an environment collected by a second electronic device; determining one or more motion parameters of the second electronic device based on the first image data; determining a latency between a moment the first image data being transmitted by the second electronic device and a moment the first image data being received by the first electronic device; compensating the first image data based on the one or more motion parameters of the second electronic device and the latency as determined, to generate second image data; and displaying the second image data through the first electronic device.

Abstract: The present invention provides a method for evaluating a protrusion-forming ability of cell spheroids, comprising step (a) of imaging a cell spheroid labeled with a fluorescent substance using a fluorescence microscope at a resolution capable of identifying individual cells, and acquiring a plane tomographic image of a fluorescence emitted from the fluorescent substance, step (b) of analyzing the plane tomographic image acquired in step (a) to determine a protrusion part of the cell spheroid, and step (c) of evaluating a protrusion-forming ability of the cell spheroid based on the protrusion part determined in step (b).

Abstract: Systolic and Diastolic Blood Pressure numbers displayed by the use of the Video taking built-in feature in any mobile device. This unique method of displayed Blood Pressure uses a Video Microanalysis Mobile Application to identify the millionth of a meter change in the blood flow through artery. This method further comprising a database for comparison between the identified change in the artery by the Video analysis and the Standard measurement of Cuff or Digital Wrist Blood Pressure measuring devices in mmHg. This method of displaying Blood Pressure is convenient and the measurement can easily be repeated and emailed.

Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.

Abstract: A processing plant, in particular for making respective products, in particular defined by articles or packages of respective articles, the articles being preferably in the form of articles of the tissue industry, the plant including at least one unit for detecting products, in particular defective products, especially defective articles and/or packages, preferably for detecting defective rolls and/or packs.

Abstract: The disclosure relates to systems and methods for magnetic resonance imaging (MRI). A method may include obtaining k-space data associated with MR signals acquired by an MR scanner. The k-space data may corresponding to a first sampling rate. The method may also include generating one or more estimated images based on the k-space data and a target neural network model. The one or more estimated images may correspond to a second sampling rate that exceeds the first sampling rate. The method may further include determining one or more target images based on the one or more estimated images and the k-space data using a compressed sensing model. The compressed sensing model may be constructed based on the one or more estimated images.

Abstract: The present invention relates to the cultivation of crop plants using plant protection agents. Objects of the present invention are methods, a system and a computer program product for determining the partial-area-specific requirement of a crop plant for plant protection agents.