Accurate diagnosis of acute appendicitis is a difficult problem in practice especially when the patient is too young or women in\npregnancy. In this paper, we propose a fully automatic appendix extractor from ultrasonography by applying a series of image\nprocessing algorithms and an unsupervised neural learning algorithm, self-organizing map. From the suggestions of clinical\npractitioners, we define four shape patterns of appendix and self-organizing map learns those patterns in pixel clustering phase. In\nthe experiment designed to test the performance for those four frequently found shape patterns, our method is successful in 3 types\n(1 failure out of 45 cases) but leaves a question for one shape pattern (80% correct).
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