A deep learning network for Gleason grading of prostate biopsies using EfficientNet.

Journal: Biomedizinische Technik. Biomedical engineering
Published Date: Nov 4, 2022

Abstract

OBJECTIVES: The most crucial part in the diagnosis of cancer is severity grading. Gleason's score is a widely used grading system for prostate cancer. Manual examination of the microscopic images and grading them is tiresome and consumes a lot of time. Hence to automate the Gleason grading process, a novel deep learning network is proposed in this work.

Authors

  • Karthik Ramamurthy
    Centre for Cyber Physical Systems, School of Electronics Engineering, Vellore Institute of Technology, Chennai, India.
  • Abinash Reddy Varikuti
    School of Computer Science Engineering, Vellore Institute of Technology, Chennai, India.
  • Bhavya Gupta
    School of Computer Science Engineering, Vellore Institute of Technology, Chennai, India.
  • Nehal Aswani
    School of Electronics Engineering, Vellore Institute of Technology, Chennai, India.

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