Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images

Joana Kuelvia de Araújo Silva, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, Italo Francyles Santos da Silva, Alexandre Pessoa

2025

Abstract

Penile cancer, with its high incidence in Brazil, stands out due to the need for early diagnosis and avoiding invasive surgical procedures with physical and psychological implications. Although histopathological analysis is the standard approach, its complexity and delay motivate the search for faster and more accurate alternatives to aid the process. This study proposes a methodology for classifying penile cancer in histopathological images using Convolutional Neural Networks (CNNs) coupled with Attention Mechanisms. Experiments were conducted using a data set of 194 samples at magnifications of 40× and 100×. As a result, the method achieved an accuracy of 95\% for cancer detection.

Paper Citation

in Harvard Style

Silva J., Braz Júnior G., Cardoso de Paiva A., Santos da Silva I. and Pessoa A. (2025). Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 654-661. DOI: 10.5220/0013472900003929

in Bibtex Style

@conference{iceis25,
author={Joana Silva and Geraldo Braz Júnior and Anselmo Cardoso de Paiva and Italo Santos da Silva and Alexandre Pessoa},
title={Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={654-661},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013472900003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images
SN - 978-989-758-749-8
AU - Silva J.
AU - Braz Júnior G.
AU - Cardoso de Paiva A.
AU - Santos da Silva I.
AU - Pessoa A.
PY - 2025
SP - 654
EP - 661
DO - 10.5220/0013472900003929
PB - SciTePress