Abstract: The present specification discloses a method capable of automatically recognizing an accurate wound boundary and a method of generating a 3D wound model based on the recognized wound boundary. The method of automatically recognizing a wound boundary according to the present specification is a method of automatically recognizing a wound boundary based on artificial intelligence, and may photograph several frames of the wound to be recognized with an RGB-D camera, separating measurement information in an image, amplifying image data for learning, and passing the amplified image data through an artificial neural network. The method may include generating a three-dimensional (3D) model by performing boundary recognition post-processing on the data passing through the artificial neural network to match a two-dimensional (2D) image with the 3D model.

Abstract: An information processing apparatus (100) includes a collation unit (102) that collates first feature information extracted from a person included in a first image (10) with first feature information indicating a feature of a retrieval target person, an extraction unit (104) that extracts second feature information from the person included in the first image in a case where a collation result in the collation unit (102) indicates a match, and a registration unit (106) that stores, in a second feature information storage unit (110), the second feature information extracted from the person included in the first image.

Abstract: A light emitting device includes a wiring substrate, a light emitting element array that includes a first side surface and a second side surface facing each other, and a third side surface and a fourth side surface connecting the first side surface and the second side surface to each other and facing each other, the light emitting element array being provided on the wiring substrate, a driving element that is provided on the wiring substrate on the first side surface side and drives the light emitting element array, a first circuit element and a second circuit element that are provided on the wiring substrate on the second side surface side to be arranged in a direction along the second side surface, and a wiring member that is provided on the third side surface side and the fourth side surface side and extends from a top electrode of the light emitting element array toward an outside of the light emitting element array.

Abstract: Disclosed is an automatic depression detection method using audio-video, including: acquiring original data containing two modalities of long-term audio file and long-term video file from an audio-video file; dividing the long-term audio file into several audio segments, and meanwhile dividing the long-term video file into a plurality of video segments; inputting each audio segment/each video segment into an audio feature extraction network/a video feature extraction network to obtain in-depth audio features/in-depth video features; calculating the in-depth audio features and the in-depth video features by using multi-head attention mechanism so as to obtain attention audio features and attention video features; aggregating the attention audio features and the attention video features into audio-video features; and inputting the audio-video features into a decision network to predict a depression level of an individual in the audio-video file.

Abstract: Methods, systems, and apparatus for controlling smart devices are described. In one aspect a method includes capturing, by a camera on a user device, a plurality of successive images for display in an application environment of an application executing on the user device, performing an object recognition process on the images, the object recognition process including determining that a plurality of images, each depicting a particular object, are required to perform object recognition on the particular object, and in response to the determination, generating a user interface element that indicates a camera operation to be performed, the camera option capturing two or more images, determining that a user, in response to the user interface element, has caused the indicated camera operation to be performed to capture the two or more images, and in response, determining whether a particular object is positively identified from the plurality of images.

Abstract: A method for synthesizing negative training data associated with training models to detect text within documents and images. The method includes one or more computer processors receiving a set of dictates associated with generating one or more negative training datasets for training a set of models to classify a plurality of features found within a data source. The method further includes identifying a set of rules related to generating negative training data to detect text based on the received set of dictates. The method further includes compiling one or more arrays of elements of hard-negative training data into a negative training data dataset based on the identified set of rules and one or more dictates. The method further includes determining metadata corresponding an array of elements of hard-negative training data.

Abstract: One or more computing devices, systems, and/or methods for oversampling for imbalanced test data are provided. A classifier is configured to classify data points as either belonging to a first class or a second class. A determination may be made that the first class and the second class are imbalanced where a first number of data points estimated to be part of the first class is a threshold amount less than a second number of data points estimated to be part of the second class. An oversampling ratio is determined for the first class. The oversampling ratio is used to select a sample set of data points for editorial labeling, where the sampling set of data points comprises a total number of data points below a threshold amount.

Abstract: A light emitting device includes a wiring substrate, a light emitting element array that includes a first side surface and a second side surface facing each other, and a third side surface and a fourth side surface connecting the first side surface and the second side surface to each other and facing each other, the light emitting element array being provided on the wiring substrate, a driving element that is provided on the wiring substrate on the first side surface side and drives the light emitting element array, a first circuit element and a second circuit element that are provided on the wiring substrate on the second side surface side to be arranged in a direction along the second side surface, and a wiring member that is provided on the third side surface side and the fourth side surface side and extends from a top electrode of the light emitting element array toward an outside of the light emitting element array.

Abstract: A system and method for locating radio-frequency identification tags within a predetermined area. The method can incorporate sub-threshold superposition response mapping techniques, alone, or in combination with other methods for locating radio-frequency identification tags such as but not limited to time differential on arrival (TDOA), frequency domain phase difference on arrival (FD-PDOA), and radio signal strength indication (RSSI). The system can include a plurality of antennas dispersed in a predefined area; one or more radio-frequency identification tags; a radio-frequency transceiver in communication with said antennas; a phase modulator coupled to the ra-dio-frequency transceiver; and a system controller in communication with said transceiver and said phase modulator. Calibration techniques can be employed to map con-structive interference zones for improved accuracy.

Abstract: An information processing apparatus (100) includes a collation unit (102) that collates first feature information extracted from a person included in a first image (10) with first feature information indicating a feature of a retrieval target person, an extraction unit (104) that extracts second feature information from the person included in the first image in a case where a collation result in the collation unit (102) indicates a match, and a registration unit (106) that stores, in a second feature information storage unit (110), the second feature information extracted from the person included in the first image.

Abstract: An information processing apparatus (100) includes a collation unit (102) that collates first feature information extracted from a person included in a first image (10) with first feature information indicating a feature of a retrieval target person, an extraction unit (104) that extracts second feature information from the person included in the first image in a case where a collation result in the collation unit (102) indicates a match, and a registration unit (106) that stores, in a second feature information storage unit (110), the second feature information extracted from the person included in the first image.

Abstract: Systems and methods to configure sidelink resources in a dual connectivity operation are provided. In some aspect, a method comprising: transmitting, from a user equipment (UE), a first message to a first evolved Node B (eNB), wherein the first message indicates a request to establish a sidelink communication; receiving, at the UE, a second message from the first eNB, wherein the second message indicates a frequency that is used by a secondary evolved Node B (SeNB); transmitting, from the UE, a measurement result to the first eNB; and receiving, at the UE, sidelink configuration information from the first eNB, wherein the sidelink configuration information indicates sidelink resources managed by the secondary eNB.

Abstract: In various examples, systems and methods are disclosed that preserve rich spatial information from an input resolution of a machine learning model to regress on lines in an input image. The machine learning model may be trained to predict, in deployment, distances for each pixel of the input image at an input resolution to a line pixel determined to correspond to a line in the input image. The machine learning model may further be trained to predict angles and label classes of the line. An embedding algorithm may be used to train the machine learning model to predict clusters of line pixels that each correspond to a respective line in the input image. In deployment, the predictions of the machine learning model may be used as an aid for understanding the surrounding environment—e.g., for updating a world model—in a variety of autonomous machine applications.

Abstract: Described is a method of providing an estimate of radiation dose received by a patient during an imaging scan performed by an imaging system. The method includes receiving patient information about the patient, receiving scan data generated during the imaging scan of the patient by the imaging system, creating a virtual dose model of the patient based upon the patient information and the scan data, receiving a selection of a region of interest of the patient, performing a dose simulation on the virtual dose model of the patient or a portion thereof, and determining, based upon an outcome of the dose simulation, an estimate of the radiation dose received within the region of interest. The imaging scan can be a partial imaging scan of a portion of the patient. Also provided is a system and software for carrying out this method.

Abstract: A medical information processing apparatus comprises an obtaining unit that obtains medical information, a learning unit that performs learning on a function of the medical information processing apparatus using the medical information, an evaluation data holding unit that holds evaluation data in which a correct answer to be obtained by executing the function is known, the evaluation data being for evaluating a learning result of the learning unit, an evaluating unit that evaluates a learning result obtained through learning, based on the evaluation data, and an accepting unit that accepts an instruction to apply a learning result of the learning unit to the function.

Abstract: The current disclosure provides systems and methods for providing guidance information to an operator of a medical imaging device. In an embodiment, a method is provided, comprising training a deep learning neural network on training pairs including a first medical image of an anatomical neighborhood and a second medical image of the anatomical neighborhood as input data, and a ground truth displacement between a first scan plane of the first medical image and a second scan plane of the second medical image as target data; using the neural network to predict a displacement between a first scan plane of a new medical image of the anatomical neighborhood and a target scan plane of a reference medical image of the anatomical neighborhood; and displaying guidance information for an imaging device used to acquire the new medical image on a display screen.

Abstract: A device for identifying a size doubling number of a lesion, having: a planar surface defining a data portion that includes data zones, including: a first zone that defines first zone arcs distributed in a concentric configuration, the first zone arcs defining first mutually unique radii, ranging from a first minimum radius to a first maximum radius; the first zone includes first zone size markers, respectively positioned adjacent ones of the first zone arcs, and the first zone size markers respectively identify the size doubling number of the clinical lesion having a size that corresponds to a respective one of the first zone arcs, the size doubling number being one or more of a volume doubling number, an area doubling number and a radius doubling number.

Abstract: An electronic device includes a flexible display and a device housing that defines a translation surface for the flexible display. A support layer is positioned between a portion of the flexible display and the translation surface. A rotor positioned within a curvilinear section of the flexible display causes a linear translation of the support layer across the translation surface by drawing the flexible substrate around the rotor. A flexible support structure can be positioned between the support layer and the flexible display, with the flexible support structure defining a plurality of engagement teeth with ends extending under one or more housing rails to prevent pillowing of the flexible display.

Abstract: Embodiments may provide improved techniques for object detection so as to improve the finding of objects and the accuracy of the boundary predictions using parametric curves defined by multiple control points. For example, in an embodiment, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise receiving an image, extracting from the image a plurality of features related to objects shown in the image, generating, from the extracted features, at least one plurality of points representing a parametric curve bounding an object shown in the image; and outputting the plurality of points representing the parametric curve.

Abstract: Computer-assisted methods for assisting in anomaly identification relating to a dysmorphology analysis comprise retrieving and/or generating a sequence of progressively changing images that depict morphing of at least a subject's first physical feature, between at least a first state representing an identification of a first anomaly relating to a dysmorphology and a second state representing lack of the identification of the first anomaly. The number of images in the sequence is selected to provide a substantially continuous transition between the first and second states. The retrieved and/or generated images are displayed on a display of a processing device, and a user interface on the processing device is provided for a user to make an image selection, which can then be used to determine identification or lack of identification of the anomaly.