A Fuzzy Inference System Combined with Wavelet Transform for Breast Mass Classification

Gorgel P., Sertbas A., Ucan O. N.

35th International Conference on Telecommunications and Signal Processing (TSP), Prague, Çek Cumhuriyeti, 3 - 04 Temmuz 2012, ss.644-647 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/tsp.2012.6256376
  • Basıldığı Şehir: Prague
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.644-647
  • İstanbul Üniversitesi Adresli: Evet

Özet

This paper proposes a combination of the Fast Wavelet Transform (FWT) and Adaptive Neuro-fuzzy Inference System (ANFIS) methods. The goal is classification of breast masses as benign or malignant by applying this method consecutively to the extracted features of the Region of Interests (ROIs). This study is developed to decrease the number of the missing cancerous regions or unnecessary biopsies. The neurofuzzy subtractive clustering classification method achieved a classification accuracy of 85% without using FWT multiresolution analysis and 92% with FWT. The satisfying results demonstrate that the developed system could help the radiologists for a true diagnosis.