loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Joana Kuelvia de Araújo Silva ; Geraldo Braz Júnior ; Anselmo Cardoso de Paiva ; Italo Francyles Santos da Silva and Alexandre Pessoa

Affiliation: Núcleo de Computacão Aplicada, Universidade Federal do Maranhão (UFMA), São Luís, MA, Brazil

Keyword(s): Penile Cancer, Histopathological Images, Convolutional Neural Networks, Attention Mechanisms.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.133.158.178

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Silva, J. K. A., Braz Júnior, G., Cardoso de Paiva, A., Santos da Silva, I. F. 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; ISSN 2184-4992, SciTePress, pages 654-661. DOI: 10.5220/0013472900003929

@conference{iceis25,
author={Joana Kuelvia de Araújo Silva and Geraldo {Braz Júnior} and Anselmo {Cardoso de Paiva} and Italo Francyles {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},
issn={2184-4992},
}

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
IS - 2184-4992
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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic