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Segmentation of digitized mammograms using self-organizing maps in a breast cancer computer aided diagnosis system

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2 Author(s)

The objective of this work is to develop a digitized mammogram feature extraction approach using Kohonen's self-organizing maps (SOM). Once developed, the SOM network can be used as the first processing stage in a breast cancer computer aided diagnosis system. Its role is to offer segmented data as input to a second stage dedicated to the diagnosis task, which is implemented via a multilayer perceptron trained by the backpropagation algorithm.

Published in:

Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on

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