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Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images

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2 Author(s)
M. L. Giger ; Dept. of Radiol., Chicago Univ., IL, USA ; Zhimin Huo

We have developed a computer aided diagnosis method for differentiating malignant from benign masses. The computerized method outputs an estimated likelihood of malignancy for eventual use as an aid to radiologists in diagnosing breast cancer. The method incorporates various computer extracted image features and merges them using artificial neural networks and rules. The authors summarize recent progress

Published in:

Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on  (Volume:3 )

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