Nec Corporation

National Cancer Center

Keio University

Maki Sano

Kenichi Kamijo

Ikuma Takahashi

Kimiyasu Takoh

Masahiro Saikou

Motoyasu Okutsu

Hitoshi Imaoka

Masayoshi Yamada

Chiemi Tanaka

Yutaka Saito

Akira Saito

Ryuji Hamamoto

Tomoharu Kiyuna

Michiie Sakamoto

Akinori Hashiguchi

Yoshiko Yoshihara

Tokiya Abe

Yoshikazu Kitamura

Ayaka Amakawa

An information processing apparatus () detects an abnormal region () from a moving image frame (). The abnormal region () is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus () generates and outputs output information based on the number of detected abnormal regions ().

Information processing apparatus, control method, and program

Display screen with graphical user interface

The acquisition unitB acquires a target image indicating a target object of inspection. The detection unitB detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unitB acquires.

Inspection device, inspection method and storage medium

An information processing apparatus () detects an abnormal region () in each of a plurality of video frames () constituting video data () in which the inside of a body is captured. The information processing apparatus () outputs output information related to the detected abnormal region (). Herein, the information processing apparatus () starts outputting of the output information when a detection score based on a proportion of the number of the video frames () in which the abnormal region () is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus () ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Information processing apparatus, control method, and non-transitory storage medium

An information processing apparatus () detects an abnormal region () from a predetermined range () of a video frame (). The information processing apparatus () determines whether a predetermined condition is satisfied in a case where the abnormal region () is detected from the predetermined range () of a certain video frame () and the abnormal region () is not detected from the predetermined range () of a predetermined video frame () generated later than the video frame (). In a case where the predetermined condition is not satisfied, the information processing apparatus () performs a predetermined notification.

Information processing apparatus, control method and program

When making a diagnosis by synthetically taking into account the information obtained by preparing a plurality of samples using different staining methods or the like and sequentially observing the samples, a diagnostician must remember information about the plurality of samples. The present invention includes image storage means for storing a reference image obtained by photographing a predetermined stained sample of and a comparison image obtained by photographing another stained sample of substantially identical biological tissues, partial image creation means for detecting a structure of the biological tissue from the reference image, cutting out from the comparison image a partial image that contains the structure detected, and storing into partial image storage means the partial image in association with the structure and the comparison image, image output means for outputting a result image that includes the reference image and the partial image, and the partial image storage means.

Diagnosis assisting system, diagnosis assisting method, and program thereof

A partial image extracting unit extracts images of a predetermined size and constant magnification from a tissue region. A mask generating unit generates a mask for removing a region not intended for measurement from the tissue region for each extracted image. A complete mask generating unit generates a temporary complete mask in which the masks generated for each of the images are integrated together, and generates a complete mask in which close portions among unmasked portions in the temporary complete mask are unified into one or more target regions. A measuring unit measures information pertaining to an object to be measured included in the image, and this information is measured for each of the images extracted by the partial image extracting unit. A region information calculating unit calculates, for each target region, information pertaining to the object to be measured from the measured information and from the complete mask.

Image measurement apparatus and image measurment method measuring the cell neclei count

A pathological diagnosis assisting apparatus according to the present invention provides the diagnosis assisting information for assisting diagnosis of tissue fibrosis from the image of the stained sample, and includes an image reading unit configured to read the image of the stained sample and an image processing unit configured to process the image. The image processing unit includes an image classification unit configured to classify the collagenous fiber and the elastic fiber, a tissue area extraction unit configured to extract a tissue area, an occupancy rate calculation unit configured to calculate the occupancy rates of the collagenous fiber and the elastic fiber in the tissue area, and a diagnosis assisting information providing unit configured to provide the diagnosis assisting information based on the calculated occupancy rates of the collagenous fiber and the elastic fiber.

Pathological diagnosis assisting apparatus, pathological diagnosis assisting method and non-transitory computer readable medium storing pathological diagnosis assisting program

A pathological diagnosis assisting apparatus according to the present invention includes an image classification unit configured to classify at least one type of a specific substance, a tissue area extraction unit configured to extract a tissue area in the image of the sample, an image dividing unit configured to divide the tissue area into a plurality of sections, a specific substance occupancy rate calculation unit configured to, calculate an occupancy rate of the at least one type of the specific substance in each of the plurality of sections, and a diagnosis assisting information providing unit configured to determine an intermediate value of the occupancy rate of the specific substance from the calculated occupancy rates of the plurality of sections and to provide the intermediate value as the diagnosis assisting information.

A pathological tissue image capturing system includes a pathological image acquirerfor capturing a pathological tissue image and an output devicefor outputting the pathological tissue image. The pathological tissue image capturing system also includes a weighting devicefor detecting a ROI from the pathological tissue image and adding a weight to pixels positioned in the ROI, and a range selectorfor selecting an enlarged image capturing range in which to capture the pathological tissue image at an enlarged scale based on the weight added by the weighting device. The pathological image acquirercaptures an enlarged pathological tissue image in the enlarged image capturing range selected by the range selector. The output deviceoutputs the captured enlarged pathological tissue image in the enlarged image capturing range.

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Tokyo, Japan

Maki Sano