Abstract: A failed-image decision support apparatus includes a hardware processor and an outputter. The hardware processor performs, among multiple types of failed-image determination processes, at least one failed-image determination process on a medical image, thereby generating a determination result and determination basis information indicating a basis for the determination result. The outputter outputs the determination result and the determination basis information. Another failed-image decision support apparatus includes a hardware processor. The hardware processor performs, among multiple types of failed-image determination processes, at least one failed-image determination process on a medical image, thereby generating a determination result and determination basis information indicating a basis for the determination result, and controls output of the determination result and the determination basis information.

Abstract: In some aspects, the described systems and methods provide for a method for training a deep learning model to assess liver pathology, including accessing annotated liver pathology images associated with a group of patients in one or more randomized controlled clinical trials of nonalcoholic steatohepatitis therapy, each of the annotated liver pathology images including at least one annotation describing one or more tissue characteristic categories for a portion of the image, and training the deep learning model based on the annotated liver pathology images to predict the tissue characteristic categories, selected from a group comprising steatosis, lobular inflammation, hepatocyte ballooning, and fibrosis stage.

Abstract: Surround-view monitoring of a trailer, including: monitoring a birds-eye view of an image of the trailer rendered in real-time to visually aid a driver of the trailer during driving and parking; determining whether at least one event has been detected by at least one sensor; storing at least one surround-view video file in a storage device when it is determined that the at least one event has been detected, wherein the at least one surround-view video file includes the birds-eye view of the image of the trailer rendered in real-time using a plurality of cameras positioned about the trailer.

Abstract: Methods and systems disclosed herein relate generally to processing images to estimate whether at least part of a tumor is represented in the images. A computer-implemented method includes accessing an image of at least part of a biological structure of a particular subject, processing the image using a segmentation algorithm to extract a plurality of image objects depicted in the image, determining one or more structural characteristics associated with an image object of the plurality of image objects, processing the one or more structural characteristics using a trained machine-learning model to generate estimation data corresponding to an estimation of whether the image object corresponds to a lesion or tumor associated with the biological structure, and outputting the estimation data for the particular subject.

Abstract: An image forming apparatus includes a photosensitive member, an intermediate transfer member, a moving member, a driving motor, a stepper motor, a detector, a phase determiner, and a controller. The stepper motor drives the moving member to move between a first position at which the photosensitive member contacts the intermediate transfer member and a second position at which the photosensitive member contacts the intermediate transfer member are separated. The controller includes a first control mode to control a motor based on a predetermined current magnitude and a second control mode to control a motor by vector control. The controller starts driving the driving motor in the first control mode, and then switches from the first control mode to the second control mode. The controller controls the stepper motor in the first control mode during a period from when the stepper motor is activated to when the stepper motor is stopped.

Abstract: An ASDGS (Artificially Spiked Data Generation System) may comprise computing and mechanical systems for using a single class of data to generate artificially “spiked” data of a second class. To generate each spiked image, the ASDGS may randomly select a clean image an augmentation object (“AO”) from an object library, shape library, and/or hair library. The ASDGS may use a texture library to add or change the texture of the AO. The ASDGS may adjust the lighting and coloring of the AO to be similar to the clean image, and may then add the AO to the clean image to generate a spiked image.

Abstract: The present disclosure provides methods and systems directed to performing real-time and/or AI-assisted radiology. A method for processing an image of a location of a body of a subject may comprise (a) obtaining the image of the location of a body of the subject; (b) using a trained algorithm to classify the image or a derivative thereof to a category among a plurality of categories, wherein the classifying comprises applying an image processing algorithm; (c) directing the image to a first radiologist for radiological assessment if the image is classified to a first category among the plurality of categories, or (ii) directing the image to a second radiologist for radiological assessment, if the image is classified to a second category among the plurality of categories; and (d) receiving a recommendation from the first or second radiologist to examine the subject based at least in part on the radiological assessment.

Abstract: An information processing apparatus (10) includes a controller (11) that acquires an image containing a figure and a character string and generates association information indicating an association between the figure and the character string based on a positional relationship between the figure and the character string in the image.

Abstract: Systems, methods and products for uploading scanned documents for collaboration. A user chooses, prior to uploading a document, whether the user wishes for the document to be converted to a text-searchable PDF and/or processed to recognize objects in the image. When the document is scanned, it is uploaded to the cloud based system with the user-selected options, and the PDF/image is processed. The upload may be a multipart, parallel upload to increase the speed of the upload. When the PDF/image is received at the cloud based system, it is processed according to the user-selected options to generate metadata (text or recognized objects) which is stored with the uploaded document. The PDF/image and metadata are shared with users who can then search the metadata for the PDF/image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a digital document hierarchy comprising layers of parent-child element relationships from the visual elements. For example, for a layer of the layers, the disclosed systems determine, from the visual elements, candidate parent visual elements and child visual elements. In addition, for the layer of the layers, the disclosed systems generate, from the feature embeddings utilizing a neural network, element classifications for the candidate parent visual elements and parent-child element link probabilities for the candidate parent visual elements and the child visual elements. Moreover, for the layer, the disclosed systems select parent visual elements from the candidate parent visual elements based on the parent-child element link probabilities. Further, the disclosed systems utilize the digital document hierarchy to generate an interactive digital document from the digital document image.

Abstract: A method by one or more network devices executing one or more smart contracts stored in a blockchain for anonymizing faces appearing in digital media content. The method includes obtaining, for each of a plurality of users, a facial model associated with that user, obtaining digital media content digital media content, determining whether that detected face matches the face of any of the plurality of users based on applying one or more of the facial models associated with the plurality of users to that detected face, anonymizing that detected face to generate an anonymized face in response to a determination that that detected face matches the face of one of the plurality of users, and providing the anonymized face to the media platform.

Abstract: A system including: a memory, an encoder, a decoder, and a processor, the processor being connected to the memory, the encoder, and the decoder. The system is configured to: receive, at the encoder, an input image, divide, by the encoder, the input image into a plurality of image patches, select, by the encoder, codes corresponding to the plurality of image patches of the input image, from a codebook including the codes. The system is further configured to determine, by the encoder, an assigned code matrix including the codes corresponding to the plurality of image patches of the input image, receive, by the decoder, the assigned code matrix from the encoder. The system is further configured to generate, by the decoder, a reconstructed image based on the assigned code matrix.

Abstract: The present disclosure provides an image processing device capable of outputting both an image for humans and an image for artificial intelligence, comprising: a display; a memory for storing at least one image frame for artificial intelligence and multiple basic image frames to be outputted as an image through the display; and a processor which controls the display to, while outputting the basic image frames as an image, output the image frame for artificial intelligence as an image in compliance with a configuration condition, wherein the outputted image includes at least one image frame for artificial intelligence inserted between the basic image frames. In accordance with to the present disclosure, a single display can provide both an image for humans and an image which can be recognized by artificial intelligence, whereby the display can be utilized as a platform for communication with artificial intelligence as well as humans.

Abstract: An information processing apparatus detects, by a first detector, a region-of-interest reflected in medical image data, performs a control of displaying, on a display, the medical image data which is a detection result indicating that the region-of-interest is not detected, receives information for specifying the medical image data evaluated that the detection result is false negative by a user, re-detects, by a second detector, the region-of-interest based on the false negative medical image data, and trains the first detector using a first medical image data set including the medical image data and a re-detection result.

Abstract: Described herein is a system for automatically capturing images. A device may execute an application on the device. In response to receiving a request for capturing an image of a document, the application may control the operation of the camera to contemporaneously and continuously capture image frames of an area within the field of view of a camera of the device. The field of view may include an object and in turn may be included in the captured image frames. The application may determine whether the aspect ratio and real-world size of the object in the captured image frames corresponds with a specified threshold size and aspect ratio which corresponds with a given document type. In response to determining the object corresponds to the given document type, the camera may automatically extract an image of the object.

Abstract: A reading apparatus includes a reading unit that reads a document, a transport path, an output path for outputting the document read by the reading unit, a display unit that displays a setup screen, and a control unit configured to control the reading unit and the display unit. The output path includes a first output path and a second output path that separately lead to different document output destinations, and the output path is formed such that a use path used to output the document is changed between the first output path and the second output path. The control unit is configured to obtain path information indicating the use path and a reading setup. The control unit is configured to, based on the reading setup and the path information, cause the display unit to display a suggestion indication suggesting changing the reading setup or suggesting changing the use path.

Abstract: An inspection analysis method includes an analysis step, a prediction step, and an output step. A processor analyzes inspection information related to an operation in an inspection and generates first operation data and second operation data indicating a content of the operation in the analysis step. The first operation data indicate a content of the operation in a first inspection. The second operation data indicate a content of the operation in a second inspection performed after the first inspection is completed. The processor compares the first operation data and the second operation data with each other and predicts a state of an inspection target in the prediction step. The processor outputs state information indicating the state to a reporting device in the output step.

Abstract: This disclosure relates to a system that synchronizes the presentation of medical images in multiple contexts and methods thereof. The system includes a variety of contexts that display medical images, and the contexts are connected by communication channels. When a user edits or otherwise interacts with one of the contexts, a message is sent to other contexts via the communication channels, and the other contexts can adjust their presentation of medical images to achieve synchronization.

Abstract: For example, a method includes obtaining sensor data depicting movements of facial features of a user who is present in a location in which a media item is being presented, calculating, using the sensor data, an alertness score for the user, determining the alertness score falls below a predefined threshold alertness score, starting, in response to determining that the alertness score falls below the predefined threshold alertness score, a timer while continuing to calculate the alertness score for the user using newly obtained sensor data, determining that the alertness score for the user using the newly obtained sensor data has failed to meet the predefined threshold alertness score before an expiration of the timer, and taking, in response to the alertness score for the user using the newly obtained sensor data failing to meet the predefined threshold score before expiration of the timer, an action associated with the media item.

Abstract: A printing device includes a providing unit configured to provide to a printed material an identifier for managing the printed material. The providing unit prints the identifier with invisible ink on the printed material. The identifier is visually recognizable under special light and invisible under normal light.