Classification of breast tumors by using a novel approach based on deep learning methods and feature selection.

Journal: Breast cancer research and treatment
Published Date:

Abstract

PURPOSE: Cancer is one of the most insidious diseases that the most important factor in overcoming the cancer is early diagnosis and detection. The histo-pathological images are used to determine whether the tissue is cancerous and the type of cancer. As the result of examination on tissue images by the expert personnel, the cancer type, and stage of the tissue can be determined. However, this situation can cause both time and energy loss as well as personnel-related inspection errors. By the increased usage of computer-based decision methods in the last decades, it would be more efficient and accurate to detect and classify the cancerous tissues with computer-aided systems.

Authors

  • Nizamettin Kutluer
    Private Doğu Anadolu Hospital, Clinic of General Surgery, Elazig, Turkey. nk440623@hotmail.com.
  • Ozgen Arslan Solmaz
    Department of Pathology, Elazığ Fethi Sekin City Hospital, University of Health Sciences, Elazig, Turkey.
  • Volkan Yamacli
    Computer Engineering Department, Engineering Faculty, Mersin University, Mersin, Turkey.
  • Belkis Eristi
    Electrical and Energy Department, Vocational School of Technical Sciences, Mersin University, Mersin, Turkey.
  • Huseyin Eristi
    Electrical and Electronics Engineering Department, Engineering Faculty, Mersin University, Mersin, Turkey.