Prostate cancer prediction through a hybrid deep learning method applied to histopathological image.

Journal: Expert review of anticancer therapy
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Prostate Cancer (PCa) is a severe disease that affects males globally. The Gleason grading system is a widely recognized method for diagnosing the aggressiveness of PCa using histopathological images. This system evaluates prostate tissue to determine the severity of the disease and guide treatment decisions. However, manual analysis of histopathological images requires highly skilled professionals and is time-consuming.

Authors

  • P Poonkuzhali
    Department of Electronics and Communication Engineering, R.M.D. Engineering College, Tamilnadu, India.
  • R Krishnamoorthy
    Centre for Advanced Wireless Integrated Technology, Chennai Institute of Technology, Chennai, India.
  • Divya Nimma
    Data Analyst in UMMC, University of Southern Mississippi, Hattiesburg, USA.
  • Janjhyam Venkata Naga Ramesh
    Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.

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