Canon Kabushiki Kaisha

Hitachi, Ltd.

Fujikura Limited

Hitachi Chemical Company, Ltd.

Yuta Nakano

Kenji Morita

Kiyohide Satoh

Yoshio Iizuka

Gakuto Aoyama

Yasuhiro Nakaaki

Akihiro Katayama

Yuji Saito

Takaaki Endo

Yasufumi Takama

Daisuke Furukawa

Masaki Takeuchi

Kazuhito Obata

Yoshitsugu Matsuura

Katsuhiko Yasu

A cold plate includes: a base plate including a plurality of fins aligned in parallel; and a cover that covers the plurality of fins and that forms an internal space between the base plate and the cover. The plurality of fins includes: a first fin group in which a plurality of first fins having a first width are disposed on the base plate with a fixed gap in a parallel direction between each of the first fins and a second fin group in which a plurality of second fins having a width wider than the first width are disposed on the base plate with the fixed gap in the parallel direction between each of the second fins. The second fin group is disposed on both sides of the first fin group.

Cold plate and manufacturing method of cold plate

An information processing apparatus includes a computer resource including a processor and a memory, a component to be controlled, a data control module configured to receive a data request and access the component and a management module configured to receive a management request and manage the component. The management module is configured to share the computer resource with the data control module and receive the management request, and dynamically change a processing order of the management request based on a usage status of the computer resource.

Processing storage management request based on current and threshold processor load using request information

An information processing system and method capable of enhancing a processing speed of the entire system includes a first server apparatus that executes a command issued from a client or transfers the command to a second server apparatus which executes the command. The first server apparatus: collects, as server-related information from each second server apparatus, each of processing time and a data communication traffic volume which are retained by the second server apparatus with respect to each combination of a type of the command executed in the past and a path at that time, load information of the second server apparatus, and communication performance of each; predicts processing time of each combination on the basis of the collected server-related; and determines a path for executing the command in consideration of properties of the command issued from the client on the basis of the prediction result.

Information processing system and method

An image processing apparatus includes at least one processor operatively coupled to a memory, serving as an obtaining unit configured to obtain a contrast material-enhanced image of an object, a first region extraction unit configured to extract a first region representing a first anatomical portion of the object from the image, with the first anatomical portion in the object being contrast material-enhanced, and an estimation unit configured to estimate a phase of the image based on a comparison result between a feature amount concerning a gray level in the first region and statistical data concerning a gray level in a plurality of phases of the first anatomical portion.

Image processing apparatus, method of controlling image processing apparatus, and storage medium that extract a region representing an anatomical portion of an object from an image by segmentation processing

A user had to manually select a cross-sectional image indicating features of a finding and a cross-sectional image displayed in a report, from a three-dimensional medical image. Provided is an image processing apparatus that includes: a unit configured to acquire a target finding of a medical image; a unit configured to calculate an image feature quantity of a type associated in advance with the target finding, for each of a plurality of cross-sectional images of the medical image; and a unit configured to identify a cross-sectional image from the plurality of cross-sectional images based on the calculated image feature quantity. Operation of selecting a cross-sectional image by a doctor can be omitted, and the burden can be reduced.

Image processing apparatus and image processing method of a three-dimensional medical image

The present invention relates to a resin film for a flexible printed circuit board consisting of a resin composition containing: a long-chain alkyl bismaleimide resin having a main chain containing an alkylene chain having 10 or more carbon atoms and a side chain containing an alkyl group bonded to the alkylene chain; and a curing agent having two or more functional groups reacting with the long-chain alkyl bismaleimide resin.

Resin film for flexible printed circuit board, metal foil provided with resin, coverlay film, bonding sheet, and flexible printed circuit board

An image processing apparatus that aligns a first image which is an object image including left and right breasts with a second image which is an object image including only one of the left and right breasts, the image processing apparatus comprises an image acquiring unit that acquires the first and second images; an identification information acquiring unit that acquires identification information, which is information to specify whether the left or right breast included in the first image is an alignment target; a region setting unit that sets a region of interest in the first image based on the identification information; and an aligning unit that aligns the region of interest in the first image with the second image.

Image processing apparatus and image processing method

An image processing apparatus includes at least one processor operatively coupled to a memory, serving as an obtaining unit configured to obtain a contrast material-enhanced image of an object, a first region extraction unit configured to extract a first region representing a first anatomical portion of the object from the image, an estimation unit configured to estimate a state of the image concerning a temporal change in gray level from the first region, and a second region extraction unit configured to extract a second region representing a second anatomical portion of the object from the image based on an estimation result obtained by the estimation unit.

Image processing apparatus, method of controlling image processing apparatus, and storage medium

A brightness information generation unitgenerates brightness profiles, serving as brightness information, from each Sobel image formed by an image transformation unit. A feature point detection unitextracts feature points from the generated brightness information. In this case, maximum points (hereinafter, referred to as 'peaks') in the brightness profiles generated from the Sobel image are determined and detected as feature points. A layered structure identification unitidentifies the kind of the boundary of each layer or that of the layer in the retina. To identify the kind of the layer or boundary, brightness values in an area between the peaks are obtained from a median image and the layered structure in the area between the peaks is determined, thus identifying the kind of the layer or boundary corresponding to each peak on the basis of information indicating the determination.

Image processing apparatus, method for image processing, image pickup system, and computer-readable storage medium

A method and apparatus for segmenting an object from a three-dimensional image are disclosed. According to the method, first, a surface of the object is estimated using scale estimation processes such as Laplacian-of-Gaussian filters in one, two or three dimensions. Second, the estimated surface is transformed by having a shrink function applied to it independently in each dimension to give a regularly shaped (preferably substantially spherical), non-isotropic shape. The object is segmented from the volume around it, and is inverse-transformed to obtain the original shape, which shape is then isolated from the image volume.

Transformation of 3-D object for object segmentation in 3-D medical image

An image processing apparatus according to the present invention includes an acquisition unit configured to acquire a tomography image of a target to be captured, a detection unit configured to detect layer boundaries of a plurality of layers sequentially positioned in the depth direction from the acquired tomography image, and a determination unit configured to determine a structure of the target to be captured according to the number of the detected layer boundaries.

Image processing apparatus, image processing system, image processing method, and image processing computer program

An image processing apparatus includes a detecting means for detecting a plurality of boundaries of layers in a tomographic image of a subject's eye, and identifying means for identifying the kinds of the detected boundaries on the basis of the characteristics of the layer between the detected boundaries and those of the vitreous body of the subject's eye.

Image processing apparatus for detecting boundaries in tomographic image, method for image processing, image pickup system, and computer-readable storage medium

An image processing apparatus includes an extraction unit configured to extract a structure of a tested eye from an OCT image obtained by optical coherence tomography, an extraction unit configured to extract a structure of the tested eye from an eyeground image obtained by a scanning laser ophthalmoscope or a fundus camera, a calculation unit configured to calculate a reliability degree of the extraction for each of the extracted structures, and a display control unit configured to display the extracted structures superimposed on a image of eyeground according to the calculated reliability.

Displaying extracted structures from an OCT image superimposed on an eyeground image

An image processing apparatus for supporting imaging diagnosis of an eye is provided. A layer boundary of a retina region is detected from a tomographic image. A position where the detected layer boundary intersects with an upper or lower limit position of the image in the depth direction of the tomographic image is determined as a dividing position. The tomographic image is divided at the determined dividing position by a scan line in the depth direction of the tomographic image. Subsequently, whether the detection is a false detection is judged for each divided region. An average density value of the image outside the retina region according to the detected result is calculated for each divided region, and the detection in the divided region is judged to be a false detection if the average density value is equal to or greater than a predetermined threshold.

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Tokyo, Japan

Yuta Nakano