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Detection of Breast Carcinoma Regions Using Artificial Organisms
Hironori OKII Takashi UOZUMI Koichi ONO Yasunori FUJISAWA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1996/11/25
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Medical Electronics and Medical Information
breast carcinoma, medical image diagnosis, histological diagnosis, stained image, artificial life, genetic algorithm,
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This paper describes a new region segmentation method which is detectable carcinoma regions from hematoxylin and eosin (HE)-stained breast tumor images using collective behaviors of artificial organisms. In this model, the movement characteristics of artificial organisms are controlled by the gene, and the adaptive behavior of artificial organisms in the environment, carcinoma regions or not, is evaluated by the texture features.