AN EFFICIENT ALGORITHM FOR AUTOMATIC TUMOR DETECTION IN CONTRAST ENHANCED BREAST MRI BY USING ARTIFICIAL NEURAL NETWORK (NEUBREA)


Bayram B. , Koca H. K. , Narin B., Cavdaroglu G. C. , Celik L., Acar U. , ...Daha Fazla

NEURAL NETWORK WORLD, cilt.23, ss.483-498, 2013 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 23
  • Basım Tarihi: 2013
  • Doi Numarası: 10.14311/nnw.2013.23.030
  • Dergi Adı: NEURAL NETWORK WORLD
  • Sayfa Sayıları: ss.483-498

Özet

The advances in image processing technology contribute to the interpretation of medical images and early diagnosis. Moreover various studies can be found in medical journals dedicated to Artificial Neural Networks (ANN). In the presented study, a method was developed to learn and detect benign and malignant tumor types in contrast-enhanced breast magnetic resonance images (MRI). The backpropagation algorithm was taken as the ANN learning algorithm. The algorithm (NEUBREA) was developed in C# programming language by using Fast Artificial Neural Network Library (FANN).