Hiroshima University

HoangAnh Tuan

Tetsushi Koide

Tsubasa Mishima

Toru Tamaki

Tsubasa Hirakawa

Rie Miyaki

Shigeto Yoshida

Satoshi Shigemi

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

HoangAnh Tuan