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. , ...More

NEURAL NETWORK WORLD, vol.23, pp.483-498, 2013 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23
  • Publication Date: 2013
  • Doi Number: 10.14311/nnw.2013.23.030
  • Title of Journal : NEURAL NETWORK WORLD
  • Page Numbers: pp.483-498

Abstract

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).