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Self-organizing maps for analyzing mammographic findings

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2 Author(s)
Lo, J.Y. ; Dept. of Radiol., Duke Univ. Med. Center, Durham, NC, USA ; Floyd, C.E., Jr.

The purpose of this study is to analyze mammographic findings using self-organizing map artificial neural networks. Using two findings of patient age and mass margin extracted by radiologists, self-organizing maps were developed to analyze both the distribution and topology of the input findings. These results can help to explain the underlying nature of mammographic findings data, which may in turn help radiologists to improve breast cancer diagnosis and assist in the development of other neural networks

Published in:

Neural Networks,1997., International Conference on  (Volume:4 )

Date of Conference:

9-12 Jun 1997

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