Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Panasonic Intellectual Property Management Co., Ltd.

Panasonic Holdings Corporation

Panasonic Intellectual Property Corporation of America

Horiba, Ltd.

Kurimoto, Ltd.

Koki Company Limited

Kenji Kondo

Kazutoyo Takata

Kazuki Kozuka

Hirohiko Kimura

Toyohiko Sakai

Takeo Azuma

Katsuya Watanabe

Kenji Fujiune

Masahiro Wakamori

Katsuhiro Kanamori

Hideto Motomura

Shin-ichi Yamada

Hiroaki Yamamoto

Taro Imagawa

Kenya Uomori

Masayoshi Tojima

Yuuichi Kuze

Shinichi Yamada

Kotaro Sakata

Jun Ozawa

Satoshi Sato

Takeharu Yamamoto

Takashi Kishimoto

Yoshihiko Matsukawa

Hiroyoshi Komobuchi

Kunio Nobori

Hiroshi Sakakima

Mitsuo Satomi

Yoshikuni Sato

Shoichi Araki

Masaru Higashionji

Mamoru Shoji

Yasumori Hino

Shin-ichi Kadowaki

Masaru Yamaoka

Yoshihisa Takahashi

Masamichi Nakagawa

Kazuhiro Shimoda

Mikiya Nakata

Shigeaki Sakatani

Akira Yoshikawa

Tsuyoshi Mekata

Yuichi Kuze

Sumio Yokomitsu

Tomonobu Naruoka

Akio Kuroe

Masahito Hidaka

Eisuke Sawai

Susumu Maruno

Koji Kuyama

Takeshi Shimamoto

Masato Tanaka

Akihiko Watanabe

Yutaka Kamogi

Keiji Nishikiori

Masahiro Iwasaki

Kazuma Oikawa

Kei Toyota

Tomoaki Maruyama

Shinichi Fujimoto

Harumi Itoh

Kensuke Wakasugi

Shuhei Tamamura

Takashi Tsuzuki

Yoshito Aoki

Yoshinori Otsuki

Masayoshi Shinohara

Masanori Morita

Takehiko Hasegawa

Seiji Kurozumi

Kazuo Hanada

Masahito Nakao

Yasuji Echizen

Yuichiro Sadanaga

Daido Kohmyohji

Masahiro Ishii

Keisaku Nakano

Michiyo Moriya

Atsushi Irisawa

Takeshi Sakata

Hiroyoshi Inagaski

Masataka Fukami

Masashi Kashiwabara

Yugo Ryu

Steve Kerrigan

Yasuhiko Okuda

An abnormality detection system is a system that detects, based on a medical image, whether a prespecified anatomical structure included in the medical image is abnormal, and includes: an obtainer that obtains block information indicating one or more blocks that are each a region in which pixels representing the anatomical structure are connected in the medical image; and a determiner that determines and outputs whether the anatomical structure is abnormal, based on the number of blocks indicated by the block information obtained by the obtainer, wherein the determiner determines that the anatomical structure is not abnormal when the number of blocks indicated by the block information is 1, and determines that the anatomical structure is abnormal when the number of blocks indicated by the block information is 2 or more and the two or more blocks indicated by the block information satisfy a predetermined condition.

Medical image abnormality detection system and abnormality detection method

A user management method according to the present disclosure includes: storing (S) appliance use information including: appliance identification information for identifying an appliance; user information for identifying a user of the appliance; and an operating state of the appliance when the appliance was used; analyzing (S) the appliance use information stored in the storing (S) to identify, from among a plurality of functions of the appliance, one or more first functions each having a use frequency less than or equal to a threshold value; and providing (S) the user with a notice which prompts use of the one or more first functions identified in the analyzing (S).

User management method for providing a notice to prompt usage of a function of an appliance

A computer obtains a chest X-ray image, detects boundary lines in the chest X-ray image using a model constructed through machine learning, sets a third lung area including at least one of a first lung area or a second lung area, extracts a vascular index indicating at least one of thickness or density of at least one pulmonary blood vessel present in an area included in the third lung area, determines whether the area included in the third lung area is in an abnormal state on a basis of the vascular index and a reference index based on indices extracted in advance from an area in chest X-ray images in a normal state corresponding to the area included in the third lung area, and outputs, if determining that the area included in the third lung area is in an abnormal state, information indicating a result of the determination.

Method for detecting abnormality, non-transitory computer-readable recording medium storing program for detecting abnormality, abnormality detection apparatus, server apparatus, and method for processing information

A method for controlling an information terminal causes a computer of the information terminal to receive, from a case retrieval system, a plurality of similar medical images having a feature quantity of a region of interest and a certain degree of similarity in accordance with the region of interest included in a target medical image, displays a display screen displaying the plurality of received similar medical images on a touch panel display, the display screen including a display region in which at least some of the plurality of received similar medical images are displayed, displays, if selection of a first similar medical image from among the at least some of the plurality of received similar medical images displayed in the display region is detected, the first similar medical image across the display region, and displays, if a swipe operation performed on the first similar medical image is detected, a second similar medical image, which has second highest similarity next to the first similar medical image among the plurality of similar medical images, in the display region such that a corresponding region of interest included in the second similar medical image is located at a certain position in the display region.

Control method and recording medium

A display screen including a first display area displaying plural similar medical images received from a case search system and a second display area displaying disease names is displayed on a display of an information terminal. Each similar medical image is a medical image contained in an electronic medical book, and has additional information which includes the number of a page containing the similar medical image. If the user's selection of a similar medical image is detected for the first time after the display of the display screen, a page of an electronic medical book containing the selected similar medical image is displayed on the display screen. If the user's selection of a disease name is detected for the first time after the display of the display screen, a page of an electronic medical book containing differential items corresponding to the selected disease name is displayed on the display screen.

Method for controlling information terminal, and recording medium

A user input obtainer receives an image movement instruction including identification information specifying a position shift or an image capture time shift to be performed and also including a displacement amount. When the identification information specifies the position shift, a slice position selector determines a tomographic image at a destination of the position shift based on the displacement amount from a set of tomographic images captured at the same time. On the other hand, when the identification information specifies the image capture time shift, the image capture time selector determines a tomographic image at a destination of the shift based on the displacement amount from sets of tomographic images that are identical to each other in terms of a patient, an examination portion, and a modality. A displaying image obtainer reads out the determined tomographic image from an image storage device and gives it to a display information generator.

Case display apparatus, case displaying method, and storage medium background to seamlessly present diagnostic images captured at different times for comparative reading

A similar case retrieval apparatus includes: a lesion portion acquirer that acquires partial images including lesion portion images, an image feature extractor that extracts image features of each of the plurality of partial images; a location information acquirer that acquires location information of each of the partial images; a lateral position determiner that determines the right organ or the left organ in which each of the lesion portions exists based on the location information; a unilateral distribution identifier that determines whether or not a distribution of the lesion portions is a unilateral distribution; and a similar case retriever that retrieves case data from a case database including both case data for the unilateral distribution in the right organ and case data for the unilateral distribution in the left organ when the unilateral distribution identifier identifies that the distribution of the lesion portions is the unilateral distribution.

Similar case retrieval apparatus, similar case retrieval method, non-transitory computer-readable storage medium, similar case retrieval system, and case database

A method for controlling display of an abnormality includes obtaining a target chest X-ray image, detecting a structure including a linear structure formed of a first linear area that has been drawn by projecting anatomical structures whose X-ray transmittances are different from each other or a second linear area drawn by projecting an anatomical structure including a wall of a trachea, a wall of a bronchus, or a hair line, calculating an indicator for determining the abnormal state from the structure, comparing the indicator with a reference indicator, and determining whether the structure is in the abnormal state, and displaying, if it is determined that the structure is in the abnormal state, an image of an area of the target chest X-ray image including the structure determined to be in the abnormal state and details of the abnormal state.

Method for controlling display of abnormality in chest x-ray image, storage medium, abnormality display control apparatus, and server apparatus

A method for converting tone of a chest X-ray image includes obtaining a target chest X-ray image, detecting, in the target chest X-ray image using a model obtained as a result of machine learning, a structure including a linear structure formed of a first linear area that has been drawn by projecting anatomical structures whose X-ray transmittances are different from each other or a second linear area drawn by projecting an anatomical structure including a wall of a trachea, a wall of a bronchus, or a hair line, extracting a pixel group corresponding to a neighboring area of the structure, generating a contrast conversion expression for histogram equalization using a histogram of the pixel group, and converting luminance of each pixel value in entirety of the target chest X-ray image using the contrast conversion expression.

Method for converting tone of chest X-ray image, storage medium, image tone conversion apparatus, server apparatus, and conversion method

A method includes displaying, on a display of an information terminal, thumbnail images of similar cases received from a case search system and displaying, in a disease name list display area, a disease name list formed from a list of disease names of the similar cases and the number of cases. If a plurality of regions of interest are set by a user when a search is conducted, the disease name list enters a mode in which the name of a concomitant disease is displayable therein.

Method and recording medium

Similar medical images having a predetermined similarity to a region of interest in a medical image to be interpreted are received from a case search system. A display screen on which the received similar medical images are displayed is displayed on a display. The display screen includes display frames within which similar medical images are displayed. In response to an instruction for enlarging the similar medical images, corresponding regions of interest in the similar medical images are enlarged and displayed with the sizes of the display frames maintained unchanged on the display screen. In response to an instruction for causing a selected similar medical image among the enlarged and displayed similar medical images to move within a corresponding display frame, the other unselected similar medical image(s) is caused to move within a corresponding display frame synchronously with the movement of the selected similar medical image in the same movement direction.

Control method and non-transitory computer-readable recording medium for comparing medical images

A control method of an information terminal causes a display to display a display screen which includes a first display region and a second display region. The first display region displays an object medical image. The second display region displays M number of similar medical images and includes ND number of individual regions for displaying the M number of the similar medical images. When an instruction from one or more instruction buttons is detected, a display size of each corresponding region of interest that is included in the second number of the similar medical images is changed while maintaining a size of each of the individual regions in the second display region, and each of the similar medical images is magnified at a magnification ratio of a reference thumbnail.

Control method of information terminal and computer-readable recording medium

A control method of an information terminal includes sensing specification information indicating a region of interest in a medical image, receiving from a case retrieval system one or more similar medical images each having a prescribed degree of similarity with a feature quantity of the region of interest indicated by the specification information in accordance with the region of interest, and displaying the medical image that is managed by a medical information management system in a first display region that is displayed on the display and displaying thumbnail views of a plurality of similar medical images received from the case retrieval system in a second display region that differs from the first display region.

A display control unit vertically divides a case display area in accordance with the number of disease names selected by a user to create a number of sub-areas equal to the number of disease names. Each of the sub-areas is vertically elongated so that thumbnail images of similar cases of the corresponding disease name are displayed so as to be aligned in a column. The display control unit displays, in each sub-area, thumbnail images of similar cases of the corresponding disease name so that the thumbnail images are aligned in a column in order of decreasing similarity to a search query image displayed in a layout area.

Control method and non-transitory computer-readable recording medium

Growing community of inventors

Kyoto, Japan

Kenji Kondo