US 12,437,400 B2
Medical image abnormality detection system and abnormality detection method
Masahiro Ishii, Kanagawa (JP); Kenji Kondo, Fukui (JP); Masato Tanaka, Fukui (JP); and Shinichi Fujimoto, Fukui (JP)
Assigned to PANASONIC HOLDINGS CORPORATION, Osaka (JP)
Filed by Panasonic Holdings Corporation, Osaka (JP)
Filed on May 23, 2023, as Appl. No. 18/200,693.
Application 18/200,693 is a continuation of application No. PCT/JP2021/041902, filed on Nov. 15, 2021.
Claims priority of application No. 2020-195390 (JP), filed on Nov. 25, 2020.
Prior Publication US 2023/0289965 A1, Sep. 14, 2023
Int. Cl. G06T 7/00 (2017.01)
CPC G06T 7/0012 (2013.01) 6 Claims
OG exemplary drawing
 
1. An abnormality detection system that detects, based on a medical image, whether a prespecified anatomical structure included in the medical image is abnormal, the abnormality detection system comprising:
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 a total number of the one or more blocks indicated by the block information obtained by the obtainer,
wherein the determiner determines that the anatomical structure is not abnormal when the total number of the one or more blocks indicated by the block information is 1, and determines that the anatomical structure is abnormal when the total number of the one or more 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,
the predetermined condition relates to a block with a second largest area in the medical image out of the two or more blocks indicated by the block information,
the predetermined condition is that the block with the second largest area in the medical image out of the two or more blocks indicated by the block information has an area greater than or equal to a first threshold, and
the first threshold is a value that depends on a receiver operating characteristic (ROC) curve for distinguishing between abnormality and normality of the anatomical structure, the ROC curve being obtained for various areas beforehand.