Abstract: The method includes generating, for each of a plurality of original images, a first artificially degraded image by applying a first image-artifact-generation logic on each of the original images; and generating the program logic by training an untrained version of a first machine-learning logic that encodes a first artifacts-removal logic on the original images and their respectively generated first degraded images; and returning the trained first machine-learning logic as the program logic or as a component thereof. The first image-artifact-generation logic is A) an image-acquisition-system-specific image-artifact-generation logic or B) a tissue-staining-artifact-generation logic.

Abstract: A method may include obtaining an image representing a region of interest (ROI) of an object. The ROI may include two or more sub-regions. The method may include determining an average value of quantitative indexes associated with elements in the image corresponding to a first region of the ROI. The method may include determining, for each of the two or more sub-regions of the ROI, a threshold based on the average value; identifying target elements in the image based on the thresholds of the two or more sub-regions. The method may include assigning a presentation value to each of at least some of the target elements based on the average value and the quantitative index of the each target element. The method may include generating a presentation of the image based on the presentation values.

Abstract: A device disclosed includes first and second rows of memory cells, a first data line, and a first continuous data line. The first and second rows of memory cells are arranged in a first sub-bank and a second sub-bank, separated from the first sub-bank, respectively. The first data line is arranged across the first sub-bank and coupled to a first memory cell in the first row of memory cells. The first continuous data line includes a first portion arranged across the first sub-bank and a second portion arranged across the second sub-bank. The first continuous data line is coupled to a second memory cell in the second row of memory cells. The first portion of the first continuous data line is disposed in a first metal layer. The first data line and the second portion of the first continuous data line are in a second metal layer.

Abstract: The method according to the invention utilizes a color decomposition of histological tissue image data to derive a density map. The density map corresponds to the portion of the image data that contains the stain/tissue combination corresponding to the stroma, and at least one gland is extracted from said density map. The glands are obtained by a combination of a mask and a seed for each gland derived by adaptive morphological operations, and the seed is grown to the boundaries of the mask. The method may also derive an epithelial density map used to remove small objects not corresponding to epithelial tissue. The epithelial density map may further be utilized to improve the identification of glandular regions in the stromal density map. The segmented gland is extracted from the tissue data utilizing the grown seed as a mask. The gland is then classified according to its associated features.

Abstract: The invention provides methods and apparatus for image processing that perform image segmentation on data sets in two- and/or three-dimensions so as to resolve structures that have the same or similar grey values (and that would otherwise render with the same or similar intensity values) and that, thereby, facilitate visualization and processing of those data sets.

Abstract: A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.

Abstract: Methods and systems for locating a filament in a resistive memory device are described. In an example, a device can acquire an image indicating an occurrence of photoemission from the resistive memory device. The device can determine a location of the filament in a switching medium of the resistive memory device using the acquired image.

Abstract: Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display.

Abstract: According to the embodiment, in a first period, the semiconductor storage device maintains the switch in an ON state. In a second period, the semiconductor storage device performs a first operation, a second operation and a third operation while maintaining the switch in an OFF state. The second period is a period after the first period. The first operation is an operation to supply the first pulse having the first polarity from the first pulse generation circuit to the other end of the first capacitive element. The second operation is an operation to supply the second pulse having the second polarity from the second pulse generation circuit to the other end of the second capacitive element. The third operation is an operation to connect the first bit line to the first data line.

Abstract: An object detection device for detecting a target object from an image, includes: a first detection unit configured to detect a plurality of candidate regions in which the target object exists from the image; a region integration unit configured to determine one or more integrated regions based on the plurality of candidate regions detected by the first detection unit; a selection unit configured to select at least a part of the integrated regions; and a second detection unit configured to detect the target object from the selected integrated region using a detection algorithm different from a detection algorithm used by the first detection unit.

Abstract: The disclosed invention presents a self-tracking reference circuit that compensates for IR drops and achieves the target resistance state at different temperatures after write operations. The disclosed self-tracking reference circuit includes a replica access path, a configurable resistor network, a replica selector mini-array and a step current generator that track PVT variations to provide a PVT tracking level for RRAM verify operation.

Abstract: A variable resistance memory device includes: a memory cell including a first and second sub memory cell; and a first, second and third conductor. The first sub memory cell is above the first conductor, and includes a first variable resistance element and a first bidirectional switching element. The second sub memory cell is above the second conductor, and includes a second variable resistance element and a second bidirectional switching element. The second conductor is above the first sub memory cell. The third conductor is above the second sub memory cell. The variable resistance memory device is configured to receive first data and to write the first data to the memory cell when the first data does not match second data read from the memory cell.

Abstract: To simplify a configuration for increasing an amount of information on an observation space, taken image acquisition means of an image processing system acquires taken images that have been taken by image taking means, which is movable in a real space. Observation space information acquisition means acquires, based on changes in position of a feature point cloud in the taken images, observation space information including three-dimensional coordinates of the feature point cloud in an observation space. Machine learning means acquires, based on machine learning data on a feature of an object, additional information on a feature of a photographed object shown in the taken images. Integration means integrates the observation space information and the additional information.

Abstract: A common area derivation unit derives a common area common to at least a part of a plurality of projection images corresponding to a plurality of radiation source positions which are generated by causing an imaging apparatus to perform tomosynthesis imaging in which a radiation source is moved relative to a detection unit to irradiate a subject with radiation at the plurality of radiation source positions according to movement of the radiation source. A display control unit emphasizes effective image areas, corresponding to the common area, of at least a part of a plurality of tomographic images representing a plurality of tomographic planes of the subject which are generated by reconstructing the plurality of projection images, or a composite two-dimensional image generated from the plurality of tomographic images, and displays at least the part of the tomographic images or the composite two-dimensional image on a display.

Abstract: Disclosed in an intravascular ultrasound (IVUS) image analysis method, comprising the steps of: allowing a computer to acquire an IVUS image of an object; segmenting a constituent element included in the IVUS image; and determining the constituent parts and the degree of risk of plaque included in the IVUS image.

Abstract: Memory devices have an array of elements in two or more dimensions. The memory devices use multiple access lines arranged in a grid to access the memory devices. Memory cells are located at intersections of the access lines in the grid. Drivers are used for each access line and configured to transmit a corresponding signal to respective memory cells of the plurality of memory cells via a corresponding access line. The memory devices also include compensation circuitry configured to determine which driving access lines driving a target memory cell of the plurality of memory cells has the most distance between the target memory cell and a respective driver. The plurality of access lines comprise the driving access lines. The compensation circuitry also is configured to output compensation values to adjust the voltages of the driving access lines based on a polarity of the voltage of the longer driving access line.

Abstract: A computer-implemented method may include receiving a collection of unstained digital histopathology slide images at a storage device and running a trained machine learning model on one or more slide images of the collection to infer a presence or an absence of a salient feature. The trained machine learning model may have been trained by processing a second collection of unstained or stained digital histopathology slide images and at least one synoptic annotation for one or more unstained or stained digital histopathology slide images of the second collection. The computer-implemented method may further include determining at least one map from output of the trained machine learning model and providing an output from the trained machine learning model to the storage device.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for determining a text color. The method may include: determining, in response to detecting a text frame on canvas, a subimage corresponding to the text frame from the canvas; acquiring color values of pixels in the subimage, to determine an average color value of the subimage; determining an average luminance value of the subimage based on the average color value of the subimage; and determining a color of text to be inputted into the text frame based on the average luminance value of the subimage.

Abstract: Methods, systems, and devices for parallel drift cancellation are described. In some instances, during a first duration, a first voltage may be applied to a word line to threshold one or more memory cells included in a first subset of memory cells. During a second duration, a second voltage may be applied to the word line to write a first logic state to one or more memory cells included in the first subset and to threshold one or more memory cells included in a second subset of memory cells. During a third duration, a third voltage may be applied to the word line to write a second logic state to one or more memory cells included in the second subset of memory cells.

Abstract: A memory device and an operation method thereof are provided. The memory device comprises: a memory array including a plurality of memory cells; a plurality of bit lines coupled to the memory array; a plurality of word lines coupled to the memory array; and a plurality of conductance controllable units coupled to the memory array; wherein a memory cell group and at least one conductance controllable unit among the conductance controllable units form a logic operation unit, and a logic operation function of the logic operation unit is determined by an equivalent conductance of the at least one conductance controllable unit.