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Feature-based fuzzy classification for interpretation of mammograms

✍ Scribed by Naresh S. Iyer; Abraham Kandel; Moti Schneider

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
192 KB
Volume
114
Category
Article
ISSN
0165-0114

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✦ Synopsis

Methods in fuzzy logic have been applied to serve as secondary classiÿer for a hierarchical classiÿcation model. The use of this model in interpretation of mammograms is discussed. Also is discussed, the inevitability of using a fuzzy approach in the problem. Finally, the two di erent fuzzy approaches for secondary classiÿcation are compared on basis of their performance as far as clustering is concerned. The idea of using a fuzzy covariance matrix [5,6] in the distance metric of the classical c-means algorithm [1 -3] has also been tried.

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