A Comprehensive Review on Deep Learning Approach for Prostate Cancer Gleason Grading

Abstract

This comprehensive review explores the transformative role of deep learning in revolutionizing the diagnosis of prostate cancer through a refined Gleason grading approach. Prostate cancer diagnosis has significantly benefited from advancements in deep learning techniques, enabling more accurate and precise Gleason grading—a critical component in assessing the severity of prostate tumors. The abstract delves into the latest developments in deep learning algorithms and their application to Gleason grading, highlighting the potential to enhance diagnostic accuracy, improve prognostic predictions, and ultimately contribute to more effective treatment strategies for prostate cancer patients. The synthesis of current research findings in this review underscores the pivotal role that deep learning plays in reshaping the landscape of prostate cancer diagnosis and emphasizes the promising future prospects for integrating these innovative technologies into clinical practice.