Hiroshima University

Rie Miyaki

Tetsushi Koide

Toru Tamaki

Tsubasa Mishima

Satoshi Shigemi

Hoang Anh Tuan

Shigeto Yoshida

HoangAnh Tuan

Tsubasa Hirakawa

Kouki Sugi

An endoscopic image diagnosis support system () includes: a memory () that stores learning images pre-classified into pathological types; and a processor () that, given an endoscopic image, performs feature value matching between an image of an identification target region in the endoscopic image and the learning images, to identify the pathological types in the identification target region. The processor () performs feature value matching between images of the identification target region and subdivided regions of the identification target region and the learning images to compute identification probabilities of the pathological types in the identification target region and the subdivided regions, and computes average values of the identification probabilities of the pathological types in the identification target region and the subdivided regions, the average values corresponding to identification probabilities of the pathological types in hierarchical overlap regions of the identification target region and the subdivided regions.

Endoscopic image diagnosis support system for computing average values of identification probabilities of pathological types

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Hiroshima, Japan

Rie Miyaki