Osaka University

Noriyuki Tomiyama

Hirofumi Yamamoto

Masahiko Koizumi

Shoichi Tomohisa

Hodaka Numasaki

Masahiro Yanagawa

Osamu Honda

The disclosed feature makes it possible to accurately determine a change that has occurred in a tissue. The feature includes: a binarizing section () that generates, from an image to be analyzed, a plurality of binarized images having respective binarization reference values different from each other; a Betti number calculating section () that calculates, for each of the plurality of binarized images, a one-dimensional Betti number indicating the number of hole-shaped regions each of which is surrounded by pixels each having a first pixel value obtained by binarization and is constituted by pixels each having a second pixel value obtained by binarization; and a determining section () that determines a change that has occurred in the tissue, based on a binarization reference value and a one-dimensional Betti number in a binarized image in which the one-dimensional Betti number is maximized.

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Osaka, Japan

Noriyuki Tomiyama