Automatic Extraction of Appendix from Ultrasonography with Self-Organizing Map and Shape-Brightness Pattern Learning

作者：Kim Kwang Baek^*; Song Doo Heon; Park Hyun Jun

来源：Biomed Research International, 2016, 2016: 5206268.

DOI：10.1155/2016/5206268

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

• 出版日期2016