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Papers Published

1. Lo, J.Y. and Floyd, C.E., Jr., Self-organizing maps for analyzing mammographic findings, 1997 IEEE International Conference on Neural Networks. Proceedings (Cat. No.97CH36109), vol. vol.4 (1997), pp. 2472 - 4 [ICNN.1997.614546] .
   (last updated on 2007/04/15)

   Abstract:
   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

   Keywords:
   diagnostic radiography;medical diagnostic computing;patient diagnosis;pattern classification;self-organising feature maps;topology;