Fujifilm Corporation

Renesas Electronics Corporation

Nippon Steel Sumitomo Metal Corporation

Nec Corporation

Nippon Steel Corporation

Philip Morris Inc.

Oki Semiconductor Co., Ltd.

Nec Electronics Corporation

Casio Computer Co., Ltd.

Kenta Yamada

Hisashi Amaya

Masahiko Hamada

Daisuke Motoya

Shozo Minagawa

Takahiro Osuki

Hiroyuki Nagayama

Hirokazu Okada

Hideki Takabe

Masayuki Sagara

Kana Jotoku

Satoshi Ichikawa

Shingo Kazuma

Masahiro Seto

Shinjiro Nakatsuka

Kenji Okuzaki

An image processing apparatus, an image display system, an image processing method, and a program by which it is possible to grasp, on a screen for observing a given low-dimensional image having a lower level of dimensions than a medical image, information of the low-dimensional image in which a region of interest is present and information of the region of interest. A medical image including two or more low-dimensional images () is acquired, region-of-interest information representing information of a region of interest () automatically detected from the medical image is acquired for each of the low-dimensional images, axis information () representing a space axis or a time axis is generated, additional information () associated with the axis information is generated, the additional information including presence information indicating that the region of interest is present and content information indicating content of the region of interest, and the low-dimensional images, the axis information, and the additional information are displayed on a display.

Image processing apparatus, image display system, image processing method, and program for displaying information associated with region of interest of medical image

The medical image diagnosis support device includes an image reception unit, an information reception unit that receives information corresponding to the received image, an extraction unit that extracts one or more applications corresponding to the received information and analyzing the received image, an activation unit that activates at least one of the extracted applications, and a display control unit that displays, in a case where a result of analysis executed in the past by the activated application exists for the received image, the result of analysis on a display unit.

Medical image diagnosis support device, method, and program

Information representing a physique of a subject is extracted from an image obtained by imaging the subject. A group in which the subject is classified is specified, using the extracted information representing the physique of the subject. Image data representing a medical image obtained by imaging the subject is input to a learned model corresponding to a specified group among learned models obtained for each group by machine learning using learning data for each group. Information representing an area extracted from the medical image is acquired, which is output from the learned model with the input.

Information processing device, information processing method, and program

Provided are an information processing apparatus, an information processing method, and a program capable of accumulating appropriate relearning data. An information processing apparatus includes an input unit that inputs input data to a learned model acquired in advance through machine learning using learning data, an acquisition unit that acquires output data output from the learned model through the input using the input unit, a reception unit that receives correction performed by a user for the output data acquired by the acquisition unit, and a storage controller that performs control for storing, as relearning data of the learned model, the input data and the output data that reflects the correction received by the reception unit in a storage unit in a case where a value indicating a correction amount acquired by performing the correction for the output data is equal to or greater than a threshold value.

Information processing apparatus, information processing method, and program

Provided is an austenitic stainless steel weld joint that is excellent in polythionic acid SCC resistance and naphthenic acid corrosion resistance, and is also excellent in creep ductility. An austenitic stainless steel weld joint includes a base material and a weld metal. The weld metal has a chemical composition at its width-center position and at its thickness-center position consisting of, in mass %, C: 0.050% or less, Si: 0.01 to 1.00%, Mn: 0.01 to 3.00%, P: 0.030% or less, S: 0.015% or less, Cr: 15.0 to 25.0%, Ni: 20.0 to 70.0%, Mo: 1.30 to 10.00%, Nb: 0.05 to 3.00%, N: 0.150% or less, and B: 0.0050% or less, with the balance: Fe and impurities.

Austenitic stainless steel weld joint

Provided are an information processing apparatus, an information processing method, and a program capable of accurately extracting a target region from a medical image. An information processing apparatus includes an extraction unit that extracts information indicating a physique of a subject from an image acquired by imaging the subject, a specification unit that specifies a group into which the subject is classified by using the information indicating the physique of the subject extracted by the extraction unit, and a generation unit that generates a learned model for each group through machine learning using, as learning data, image data indicating a medical image acquired by imaging the subject for each group and information indicating a region extracted from the medical image.

An arrival position information estimation unit that estimates arrival position information at which an extension line of a peripheral branch included in a bronchial region arrives at a surface of a lung region, and estimates assumed mapping information other than the arrival position information of a specific peripheral branch on the basis of a preset condition in a case where the specific peripheral branch is set as a target branch, and a display control unit that generates a mapping image obtained by mapping the arrival position information of the specific peripheral branch and the assumed mapping information to a surface of the lung region and displays the mapping image on a display unit are included.

Mapping image display control device, method, and program

The medical image storage and reproduction apparatus includes: a storage unit that stores a motion picture obtained by imaging an imaging target; a virtual image generation unit that generates a virtual image based on a three-dimensional medical image captured in advance; a chapter information assignment unit that detects an anatomical feature or a functional feature from the virtual image corresponding to an updated frame according to updating of each frame of the motion picture and assigns chapter information to the motion picture based on the detection point in time; and a display control unit that displays a selection screen for receiving the selection of chapter information. The display control unit reproduces the motion picture based on the selected chapter information.

Medical image storage and reproduction apparatus, method, and program

An austenitic stainless steel is provided which has a chemical composition that consists, by mass %, of: C: 0.015% or less, Si: 1.00% or less, Mn: 2.00% or less, P: 0.05% or less, S: 0.030% or less, Cr: 16.0% or more and less than 22.0%, Ni: 11.0 to 16.0%, Mo: 2.5 to 5.0%, N: 0.07% or more and less than 0.15%, Nb: 0.20 to 0.50%, Al: 0.005 to 0.040%, Sn: 0 to 0.080%, Zn: 0 to 0.0060%, Pb: 0 to 0.030%, and the balance: Fe and impurities, and that satisfies the formula [Mo/Mo&#x2265;0.98] (Mo: Mo amount dissolved in the steel).

Austenitic stainless steel and production method therefor

An image processing device for an endoscope in which an operation of bending a distal end portion only within one endoscope bending plane including an axis of the distal end portion is allowed, the image processing device having a processor configured to acquire information of a course along which the endoscope travels in the luminal structure, the course being set based on a three-dimensional image indicating the luminal structure, and calculate a first rotation angle of the endoscope at a first branch in the course, the first rotation angle being an angle to match the one endoscope bending plane where the distal end portion is allowed to bend with a plane of the first branch, by a operation of rotation.

Image processing device, method, and program

A mapping image display control device includes a lung region extraction unitthat extracts a lung region included in a three-dimensional image, a bronchus region extraction unitthat extracts a bronchus region included in the lung region, a branching position information acquisition unitthat acquires information about a branching position of the bronchus region, a reaching position information estimation unitthat estimates reaching position information about a position at which an extended line of a branch included in the bronchus region reaches a surface of the lung region on the basis of the information about the branching position, and a display control unitthat generates a mapping image in which the reaching position information is mapped to the surface of the lung region and that causes a display apparatusto display the mapping image.

Extracting a tubular structure from volume data, determining a target region which should be reached by an endoscope through the tubular structure, extracting, among plurality on a route of the tubular structure, a point that satisfies a given condition as a target point that should be reached by a distal end portion of the endoscope, and identifying and determining a route of the tubular structure from a predetermined start point in the tubular structure to the extracted target point as a route through which the endoscope should be passed.

Image processing apparatus, image processing method, and a non-transitory computer readable recording medium containing an image processing program

A curved line correction apparatus includes a correction target receiving unit that receives selection of a correction target point when an instruction mark is placed on an arbitrary point on a curved line composed of a plurality of arranged points, a correction target range setting unit that sets a certain range of the curved line, including the correction target point, as a correction target range, and a correction unit that corrects a portion of the curved line within the correction target range by moving the correction target point and a point within the correction target range when movement of the instruction mark is received, in which the correction target range setting unit changes the size of the correction target range when an instruction input to change the range is received with the instruction mark being placed on the correction target point.

Curved line correction apparatus, method, and medium

A mapping image display control device includes an organ region extraction unit that extracts an organ region from a three-dimensional-image, a tubular-structure-extraction unit that extracts a tubular structure in the organ region, a reaching-position-information-estimation unit that estimates pieces of reaching position information each of a position at which an extended line of a branch in the tubular structure reaches a surface of the organ region, a resection-region-information-acquisition unit that acquires information of a resection region in the organ region, a boundary-identifying-reaching-position-information-determination unit that determines pieces of boundary-identifying reaching position information used to identify a boundary of the resection region from among the pieces of reaching position information based on the information of the resection region, and a display-control unit that causes a mapping image in which the pieces of boundary-identifying reaching position information are mapped to the surface of the organ region to be displayed.

In a computer with a touch panel, displaying a plurality of images on the touch panel using a display parameter preset to each image, and changing, when a touch gesture associated with changing the display parameter is performed on the touch panel for any one of the plurality of displayed images, the display parameter according to the touch gesture for all of the images other than an image somewhere in the display area of which is being pressed when the touch gesture is performed.

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Tokyo, Japan

Kenta Yamada