Segmentation of Digitized Mammograms Using Self-Organizing Maps in a Breast Cancer Computer Aided Diagnosis System
نویسندگان
چکیده
The objective of this work is to develop a digitized mammograms’ feature extraction approach using Kohonen’s Self-Organizing Maps (SOM). Once developed, the SOM network will be used as the first processing stage in a breast cancer computer aided diagnosis (CAD) system. Its role will be to offer segmented data as input to a second stage dedicated to the diagnosis task, which will be implemented via a multi layer perceptron (MLP) trained by the backpropagation algorithm.
منابع مشابه
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