Abstract: A method is to be implemented by a computing device that stores a risk assessment model, and includes steps of: obtaining an entry of target physiological data and target magnetic resonance imaging (MRI) images of a brain of a subject with mild cognition impairment (MCI); obtaining, based on the target MRI images, voxel values respectively of primitive voxels that are related to grey matter of the brain of the subject; selecting, from among the primitive voxels, any primitive voxel satisfying a filtering criterion as a selected voxel; calculating an average of the voxel value(s) respectively of the selected voxel(s) to obtain an average target voxel value; and obtaining a probability of the subject developing Alzheimer's disease within a predetermined time period by feeding the average target voxel value and the entry of target physiological data into the risk assessment model.

Abstract: An information processing apparatus determines whether a sticker displaying that an upgraded vehicle part is mounted is attached to a first vehicle or not, and performs a process related to valuation of the first vehicle with the upgraded vehicle part taken into account, in a case where the sticker is attached to the first vehicle.

Abstract: A method comprises obtaining a first laser angle; obtaining a second laser angle; obtaining a laser angle difference for a third laser angle; determining a predicted value based on the first laser angle and the second laser angle; and determining the third laser angle based on the predicted value and the laser angle difference for the third laser angle.

Abstract: One embodiment provides an apparatus for registering a two dimensional (2D) ultrasound (US) frame and a three dimensional (3D) magnetic resonance (MR) volume. The apparatus includes a first deep neural network (DNN) and an image fusion management circuitry. The first DNN is configured to determine a 2D US pose vector based, at least in part, on 2D US frame data. The image fusion management circuitry is configured to register the 2D US frame data and a 3D MR volume data. The registering is based, at least in part, on the 2D US pose vector.

Abstract: There is provided an application that acquires data of an icon from an external apparatus. Some embodiments provide a non-transitory storage medium storing an application that provides a print setting screen for allowing a user to make a print setting used to generate a print command provided for printing in a printer by a driver in a computer, wherein the application, when executed by the computer, causes the computer to acquire data of an icon representing the printer from an external apparatus different from the computer via a network, and display the acquired icon on a display unit of the computer.

Abstract: According to one embodiment, a medical data processing apparatus includes processing circuitry. The processing circuitry acquires imaging data acquired by executing spoiled gradient echo imaging and coherent gradient echo imaging by using multiple flip angles. The processing circuitry generates a low-rank approximate image set, which is a set of low-rank approximated images from the imaging data. The processing circuitry reconstructs one or more parameter maps using the above low-rank approximate image set and a related to water exchange in a biological tissue, the multi-pool model including plural free waters and bound water that performs magnetization exchange with those free waters.

Abstract: A print mode determination method is disclosed. The method comprises receiving image data defining parameters of pixels of an image to be printed using a print apparatus; identifying, based on the image data, a first fill area in the image that exceeds a defined threshold area, wherein the first fill area is to be printed in a first color; determining, based on the image data, a first proportion of print agent of each of a plurality of colors to be used to print the first color; and determining, based on the determined first proportions of print agent, a print mode to be used by the print apparatus to print the image. An apparatus and a machine-readable medium are also disclosed.

Abstract: Provided are methods for using motion capture sensors to calibrate a component, which can include receiving motion capture sensor data associated with a motion capture sensor, the motion capture sensor data comprising at least a location of a motion capture marker and a location of a reference point on a vehicle, determining a position of a hardware component associated with the vehicle relative to the reference point on the vehicle based at least in part on the motion capture sensor data, determining the position of the hardware component does not satisfy a calibration threshold associated with the hardware component, determining a hardware component alert associated with the hardware component based at least in part on the determining that the position of the hardware component does not satisfy the calibration threshold associated with the hardware component, and routing the hardware component alert. Systems and computer program products are also provided.

Abstract: A non-transitory computer-readable storage medium stores computer-readable instructions that are executable by a computer of an information processing device and conform to a printer connected with the information processing device.

Abstract: Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining skin dryness. A plurality of training images of a plurality of individuals are aggregated, each of the training images comprising pixel data of a respective skin area of an individual. A skin dryness model, trained with the pixel data, is operable to output, across a range of a skin dryness scale, skin dryness values associated with a degree of skin dryness. An image of a user comprising pixel data of at least a portion of a user skin area is received and analyzed, by the skin dryness model, to determine a user-specific skin dryness value of the user skin area. A user-specific electronic recommendation addressing at least one feature identifiable within the pixel data is generated and rendered, on a display screen of a user computing device.

Abstract: The information processing apparatus includes a display. The information processing apparatus accepts user operations via a GUI (graphical user interface) displayed on the display. The operation screen is displayed on the display. On the operation screen, an operation guidance portion, including a message for providing operation guidance to the user, and a plurality of operation keys for accepting user operations are displayed. A part of the operation guidance portion is colored in a first color, the operation keys which are the first type of operation key are colored in the first color, and the operation keys which are the second type of operation key are not colored in the first color.

Abstract: Methods and systems for predicting post-operative complications after EVAR, including calculating a post-operative complication probability of a patient after EVAR, which comprises generating a plurality of 3D CTA reconstruction images of the patient with abdominal aortic aneurysm; and providing the plurality of 3D CTA reconstruction images of the patient to a prediction neural network configured to predict post-operative complications after endovascular aneurysm repair.

Abstract: An image processing method includes: according to position coordinates of any interpolation pixel in a target image, determining position coordinate of the interpolation pixel in an original image; calculating a two-dimensional image entropy of an (n×n) neighborhood of the interpolation pixel in the original image; when it is greater than or equal to a preset entropy threshold value, calculating a pixel value of the interpolation pixel based on all original pixels; when it is less than the preset entropy threshold, calculating gradient values in at least two edge directions within the threshold neighborhood and determining whether there is a strong-edge direction; if so, calculating the pixel value of the interpolation pixel based on a plurality of original pixels in the strong-edge direction; if not, calculating the pixel value of the interpolation pixel based on all the original pixels.

Abstract: An object of the present disclosure is to provide a printing system capable of supporting a plurality of printable areas for one paper size. One embodiment of the present invention is a non-transitory computer readable storage medium storing a program for causing a computer to perform a control method in an information processing apparatus including: first printing control software; and second printing control software that converts first format print data output by the first printing control software into second format print data, and the control method includes: a first creation step of creating raster data based on the first format print data; a medium determination step of performing determination of whether a printing-target medium is a medium that needs a margin larger than a regular size; and a margin insertion step of performing margin insertion processing for raster data created at the first creation step.

Abstract: According to an aspect of the present disclosure, an image processing apparatus comprises one or more memories and one or more processors in communication with the one or more memories, the one or more processors performing: controlling executions of a plurality of applications; and setting a predetermined application to be activated from among the plurality of applications if detecting that a document is set, wherein the controlling includes activating the set predetermined application in a case where a document is set for an image reading unit.

Abstract: Disclosed is a method for training a graphics processing neural network with a patch-based approach, which involves calculating an overlapping size and an invalid size of an output of each of at least one of multiple feature extraction layers of the graphic processing neural network according to a predetermined cropping scheme, dividing an input image into first patches in the forward pass and the first gradients into second patches in the backward pass to run streamline operation of the first and second patches. Before training, each first patch overlaps neighboring first patches at adjacent edges. In the forward pass, an invalid portion of the output of each of the at least one of the feature extraction layers cropped out based on the predetermined cropping scheme and a corresponding invalid size. Such method secures streamline operation in favor of enhanced memory utilization in training and accurate model prediction.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retroactive event detection. The methods, systems, and apparatus include actions of obtaining an image captured by a camera at a current time, determining that the image depicts a change in a region from a previous image captured by the camera at a previous time, determining, based on determining that the image depicts the change in the region, whether the change depicted in the image is of a known object type, determining, based on the determination that the change depicted in the image is of a known object type, whether the change does not correspond to a previously detected event, and determining, based on the determination that the change does not correspond to a previously detected event, whether the images captured by the camera between the current time and the previous time depict an event.

Abstract: An animal object identification apparatus includes a memory storing a program for identifying an animal object based on the image, and a processor configured to identify the animal object based on the image by executing the program, wherein the processor detects specific body images of animal objects imaged in an input image as object regions to set the specific body images as input data, extracts flattened features for the input data by inputting the input data to a preset flattened-feature calculation model, generates clustering data by performing clustering for the flattened features and assigning identifiers for classifying the animal objects to at least one cluster, and assigns the identifiers to animal objects included in the object regions by comparing the flattened features calculated during extracting the flattened features with the clustering data.

Abstract: An image forming apparatus includes a controller configured to, when a first user is logging in to the image forming apparatus, display a plurality of first icons to be arranged in a particular form of a plurality of rows and a plurality of columns within a particular area on a standby screen. The plurality of first icons include an icon associated with the image scanning processing, an icon associated with the copy processing, and one or more icons not associated with image processing. The controller is further configured to, in said displaying the plurality of first icons, display, as the plurality of first icons, one or more icons associated with the first user, and one or more icons not associated with a second user, without displaying any icons associated with the second user, and display information other than the plurality of first icons outside the particular area.

Abstract: A distracted-driving monitoring apparatus for a vehicle includes an imaging device and a determiner. The imaging device is configured to capture an image indicating at least an occupant of the vehicle. The determiner is configured to make a determination on distracted driving of the occupant of the vehicle based on the captured image. The determiner is configured to determine areas in the captured image corresponding to areas that the occupant faces from among divided areas obtained by dividing a viewing range. The viewing range corresponds to a range where the occupant is likely to face while the vehicle is in operation. The determiner is configured to execute determination processing differently for each of the determined areas to make the determination on the distracted driving of the occupant.