ENDOSCOPIC IMAGE DIAGNOSIS SUPPORT SYSTEM

摘要

An endoscopic image diagnosis support system (100) includes: a memory (10) that stores learning images pre-classified into pathological types; and a processor (20) 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 (20) 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.

主权项

1. An endoscopic image diagnosis support system, comprising:
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, wherein the processor performs feature value matching between the image of the identification target region and the learning images to compute identification probabilities of the pathological types in the identification target region, and, when a maximum value of the identification probabilities is smaller than a threshold, subdivides the identification target region, to perform feature value matching between images of subdivided regions and the learning images to compute identification probabilities of the pathological types in 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.