Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.

Journal: Computers in biology and medicine
Published Date: Aug 4, 2020

Abstract

BACKGROUND AND OBJECTIVE: Breast cancer is a frequently diagnosed cancer in women, contributing to significant mortality rates. Death rates are relatively higher in developing nations due to the shortage of early detection amenities and constraints on access to technical advances combating this disease. The only way to diagnose cancer with certainty is through biopsy performed by pathologists. Computer-aided diagnostic algorithms can assist pathologists in being more productive, objective and consistent in the diagnostic process. The focus of this work is to develop a reliable automated breast cancer diagnosis method which can operate in the prevailing clinical environment.

Authors

  • Kalpana George
    Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India. Electronic address: kalpana@mec.ac.in.
  • Shameer Faziludeen
    Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India. Electronic address: shameer503@gmail.com.
  • Praveen Sankaran
    Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India. Electronic address: psankaran@nitc.ac.in.
  • Paul Joseph K
    Department of Electrical Engineering, National Institute of Technology Calicut, Kerala, India. Electronic address: paul@nitc.ac.in.

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