Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the image; and a compressor for compressing the feature map into units of at least one line; and a decompressor for reconstructing the feature map compressed into units of lines.

Abstract: An image analysis system including at least one processor and at least one memory is provided. The image analysis system is configured to receive image data associated with a brain of a patient, the image data including a first three-dimensional (3D) diffusion weighted imaging (DWI) image acquired using a magnetic resonance imaging (MRI) system and a second 3D DWI image, concurrently provide the first 3D DWI image to a first channel of a trained model and the second 3D DWI image to a second channel of the trained model, receive an indicator associated with the first 3D DWI image and the second 3D DWI image from the model, generate a report based on the indicator, and cause the report to be output to at least one of a memory or a display.

Abstract: Disclosed herein is a method for managing item recommendation using a degree of association between language units and usage history to manage recommendation of similar items with high probability of purchase, rather than a matching method expressed by keywords, recommendation management, by adding or deleting experience items using a vector model-based reasoning method based on a word-to-word association, in a scheme of planning a novel recognition system through the study of human emotions and tastes, T.P.O (Time, Place, Occasion) and various list-specific characteristics (color, texture, etc.) based on the language used in everyday life in consideration of language units and items preferred or experienced and/or purchased by a user, and of applying machine learning technology and natural language understanding technology.

Abstract: A three-dimensional image transformation, executing on one or more computer systems, can mathematically transform a first two-dimensional image space onto a second two-dimensional image space using a three-dimensional image space. The three-dimensional image transformation can project the three-dimensional image space onto the first two-dimensional image space to map the first two-dimensional image space to the three-dimensional image space. Thereafter, the three-dimensional image transformation can project the second two-dimensional image space onto the three-dimensional image space to map the three-dimensional image space to the second two-dimensional image space.

Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the image; and a compressor for compressing the feature map into units of at least one line; and a decompressor for reconstructing the feature map compressed into units of lines.

Abstract: A method of joint denoising and demosaicing using a neural network to generate an output image and to a computing device for implementing the method is provided. The method includes obtaining image data collected by a color filter array (CFA), and jointly performing denoising and demosaicing on the CFA image data using a trained neural network to generate an output image, wherein the neural network has a lightweight U-Net architecture and is trained on a plurality of pairs of training images. One image in each pair of training images is obtained with a lower ISO value than another image in the pair of training images, and is processed by a processing algorithm (image signal processor (ISP)), and the other image in each pair of training images is in a format of CFA image data.

Abstract: A method for generating a high-dynamic-range (HDR) image includes (a) denoising a short-exposure-time image, wherein the denoising comprises applying a first guided filter to the short-exposure-time image, the guided filter utilizing a long exposure-time-image as its guide, (b) after the step of denoising, scaling at least one of the short-exposure-time image and the long-exposure-time image to place the short-exposure-time image and the long-exposure-time image on a common radiance scale, and (c) after the step of scaling, merging the short-exposure-time image with the long-exposure-time image to generate the HDR image.

Abstract: A unibody transtibial prosthetic device includes a socket personalized for a specific patient's residual limb. A pylon extends from the socket, the pylon being a unitary polymer structure of interconnected elongated supports having open spaces therebetween. The device also includes a foot-ankle complex, the foot-ankle complex being a unitary polymer extending from the pylon, the foot and ankle unitary structure being shaped to provide multi-axial dynamic flex to enable dorsiflexion, plantar flexion, inversion and eversion motion for smooth symmetric gait performance and energy capture and return. The socket, pylon and foot-ankle complex are portions of a unibody.

Abstract: A maintenance support system includes a network interface, a memory, and a processor configured to, upon receipt of first information indicating a status of a first apparatus via the network interface, store the first information in the memory, upon receipt of second information indicating a status of a second apparatus via the network interface, store the second information in the memory, and determine a priority of on-site maintenance between the first and second apparatuses based on the first and second information stored in the memory.

Abstract: Image processing unit is provided in computer, and performs: for each of input images constituting a moving image obtained by capturing a workpiece during arc welding, a spatter detection step of detecting a spatter from an input image constituting a moving image of the workpiece, the moving image being generated by capturing the workpiece during the arc welding; a background bright spot identification step of identifying, as a background bright spot, a position in the moving image, the position being a position where a number of times of the detection in the spatter detection step is equal to or more than a predetermined reference number of times; and a spatter number identification step of identifying, for one input image, a number of spatters excluding spatters each corresponding to the background bright spot identified by the background bright spot identification step among the spatters detected by the spatter detection processing.

Abstract: One or more computer processors establish a geofence surrounding a display having a plurality of pixels capable of change based on one or more display capabilities. The one or more computer processors monitor for a change in at least one pixel of the plurality of pixels. The one or more computer processors identify a photosensitive user within the established geofence. The one or more computer processors responsive to the at least one pixel change associated with the display, calculate a photosensitivity score utilizing a model trained for one or more photosensitive conditions associated with the photosensitive user. The one or more computer processors adjust the display to show a change on the at least one pixel based on the calculated photosensitivity score.

Abstract: A feature information acquisition unit acquires the first feature information on the first medical image and second feature information on the second medical image having an imaging time different from an imaging time of the first medical image. A sentence creation unit compares the first feature information and the second feature information generated by the feature information acquisition unit, and creates a sentence representing a change between the first medical image and the second medical image. A display control unit causes the display unit to display a sentence representing a change.

Abstract: A method of controlling a communication terminal including a near-field communication unit includes setting, as operation settings of the communication terminal, whether to enable wireless communication functions by the near-field communication unit and controlling to display a predetermined notification before displaying a screen for performing a login request upon condition that a user operation to transition to a screen for performing a login request to an external device has been received, and that settings have not been made in the setting of the communication terminal at least to enable wireless communication functions by the near-field communication unit as operation settings of the communication terminal.

Abstract: The method includes receiving digital images of tissue samples of patients, the images having assigned a label indicating a patient-related attribute value; splitting each received image into a set of image tiles; computing a feature vector for each tile; training a Multiple-Instance-Learning program on all the tiles and respective feature vectors for computing for each of the tiles a numerical value being indicative of the predictive power of the feature vector associated with the tile in respect to the label of the tile's respective image; and outputting a report gallery including tiles sorted in accordance with their respectively computed numerical value and/or including a graphical representation of the numerical value.

Abstract: A server device includes communication means, information storage means, and output means. The communication means communicates with an information processing device that includes a display unit for displaying a symbol and a sending unit for sending information relating to the failure of the own device. The information storage means stores the information relating to the failure sent from the information process device. The output means outputs information relating to the failure stored in an access destination specified by the symbol to a user terminal that reads the symbol.

Abstract: The present disclosure provides a computer-implemented method, a device, and a storage medium. The method includes inputting an image into an attention-enhanced high-resolution network (AHRNet) to extract feature maps for generating a first feature map; generating a first probability map which is concatenated with the first feature map to form a concatenated first feature map, and updating the AHRNet using the first segmentation loss; generating a second feature map, and scaling the second feature map to form a third feature map; generating a second probability map which is concatenated with the third feature map to form a concatenated third feature map, and updating the AHRNet using the second segmentation loss; generating a fourth feature map, and scaling the fourth feature map to form a fifth feature map; updating the AHRNet using the third segmentation loss and the regional level set loss; and outputting the third probability map.

Abstract: A method of improving mask data used in fabrication of a semiconductor device includes, in part, setting a threshold value associated with a defect based on stochastic failure rate of the defect, performing a first optimal proximity correction (OPC) of the mask data using nominal values of mask pattern contours, identifying locations within the first OPC mask data where stochastically determined mask pattern contours may lead to the defect, placing check figures on the identified locations to enable measurement of distances between the stochastically determined mask pattern contours, and performing a second OPC of the first OPC mask data so as to cause the measured distances to be greater than the threshold value.

Abstract: A method and apparatus to recognize transported passengers and goods are disclosed herein. One example includes an apparatus comprising a processor unit on a vehicular entity, a communication component coupled to the processor unit, and a memory portion associated to the processor unit and structured to store information and data received through the communication component about at least one of passengers, luggage and/or goods on the vehicular entity, with the communication component being activated by a presence of the at least one of the passengers, luggage and/or goods on the vehicular entity.

Abstract: A wireless access point information generation method, a device, and a computer readable medium are provided. The method includes: extracting candidate character images from an obtained image, wherein the obtained image includes an image indicating a wireless access point; determining a character image in the extracted candidate character images; determining a recognition result of the determined character image by using a character-recognition model, wherein the character-recognition model is used for representing a correspondence between the character image and a character; and generating an access point identifier and a password of the wireless access point according to the determined recognition result. The method provides a manner of generating wireless access point information.

Abstract: A system and computer-implemented method are provided for preprocessing medical image data for machine learning. Image data is accessed which comprises an anatomical structure. The anatomical structure in the image data is segmented to obtain a segmentation of the anatomical structure as a delineated part of the image data. A grid is assigned to the delineated part of the image data, the grid representing a partitioning of an exterior and interior of the type of anatomical structure using grid lines, wherein said assigning comprises adapting the grid to fit the segmentation of the anatomical structure in the image data. A machine learning algorithm is then provided with an addressing to the image data in the delineated part on the basis of coordinates in the assigned grid. In some embodiments, the image data of the anatomical structure may be resampled using the assigned grid.