CLASSIFICATION OF BREAST MASSES USING ANFIS-BASED FUZZY ALGORITHMS: A COMPARATIVE STUDY

Abstract

This study aims to produce a diagnosis system for breast masses related to breast cancer. The dataset consisting of 60 digital mammograms is acquired from Istanbul University Faculty of Medicine Hospital. 78 masses in the mammograms are extracted manually for this study by the experts. It is a fuzzy based comperative study of malignant-benign classification for breast masses which has the accuracy of 74.36% with k-means and 93.75% with ANFIS based fuzzy c-means and subtractive clustering.

Keywords

• Breast mass classification, fuzzy c-means, fuzzy subtractive algorithm, ANFIS.

References

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