A shape cognitron neural network for breast cancer detection

San Kan Lee, Pau Choo Chung, Chein I. Chang, Chien Shun Lo, Tain Lee, Giu Cheng Hsu, Chin Wen Yang

研究成果: Paper同行評審

5 引文 斯高帕斯(Scopus)

摘要

A Neocognition-like neural network built with universal feature planes, called Shape Cognitron (S-Cognitron) is introduced to classify clustered microcalcifications (MCC's). The S-Cognitron is composed of two modules. The first module consists of (a) a shape orientation layer, to convert first-order shape orientations into numeric values, and (b) a complex layer to extract second-order shape features. Followed is a 3-D figure layer to extract the shape curvatures. It is then followed by a second module made up of a feature formation layer and a probabilistic neural network (PNN)-based classification layer, to construct "potential" high-order shape features and perform the classification. The experimental results show the promising of the system.

原文English
頁面822-827
頁數6
出版狀態Published - 2002
事件2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
持續時間: 2002 5月 122002 5月 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
國家/地區United States
城市Honolulu, HI
期間02-05-1202-05-17

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人工智慧

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