Panasonic Corporation

Panasonic Holdings Corporation

Shinichi Fujimoto

Kenji Kondo

Jun Ozawa

Hirohiko Kimura

Harumi Itoh

Masato Tanaka

Masahiro Ishii

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 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 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.

Growing community of inventors

Fukui, Japan

Shinichi Fujimoto