Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer

Maxwell Gomes da Silva, Bruno Augusto Nassif Travençolo, André Backes

2025

Abstract

Prostate cancer remains one of the most critical health challenges, ranking among the leading causes of cancer-related deaths in men worldwide. This study seeks to automate the identification and classification of cancerous regions in histological images using deep learning, specifically convolutional neural networks (CNNs). Using PANDA dataset and Mask R-CNN, our approach achieved an accuracy of 91.3%. This result highlights the potential of our methodology to enhance early detection, improve patient outcomes, and provide valuable support to pathologists in their diagnostic processes.

Paper Citation

in Harvard Style

Gomes da Silva M., Travençolo B. and Backes A. (2025). Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 699-706. DOI: 10.5220/0013302400003912

in Bibtex Style

@conference{visapp25,
author={Maxwell Gomes da Silva and Bruno Travençolo and André Backes},
title={Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={699-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013302400003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Deep Learning for Image Analysis and Diagnosis Aid of Prostate Cancer
SN - 978-989-758-728-3
AU - Gomes da Silva M.
AU - Travençolo B.
AU - Backes A.
PY - 2025
SP - 699
EP - 706
DO - 10.5220/0013302400003912
PB - SciTePress