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A review on innovations in prostate cancer diagnosis: automated techniques for gleason score estimation via mpMRI and DWSI imaging Cover

A review on innovations in prostate cancer diagnosis: automated techniques for gleason score estimation via mpMRI and DWSI imaging

International Journal on Smart Sensing and Intelligent Systems
Volume 19 (2026): Issue 1 (January 2026)
By: Chaitali S. Prabhu,  Anil B. Gavade,  Priyanka A. Gavade and  Rajendra B. Nerli  
Open Access
|Jan 2026

Authors

Chaitali S. Prabhu

chaitaliprabhus13@gmail.com

KLS Gogte Institute of Technology

Anil B. Gavade

KLS Gogte Institute of Technology

Priyanka A. Gavade

KLE Society’s Dr. M. S. Sheshgiri College of Engineering and Technology

Rajendra B. Nerli

KLE Academy of Higher Education and Research
DOI: https://doi.org/10.2478/ijssis-2026-0001 | Journal eISSN: 1178-5608
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Language: English
Published on: Jan 26, 2026
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
prostate cancer diagnosis,
diffusion-weighted imaging,
Gleason score,
multiparametric magnetic resonance imaging,
deep learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 Chaitali S. Prabhu, Anil B. Gavade, Priyanka A. Gavade, Rajendra B. Nerli, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)