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Early Skin Cancer Detection Using the SLICE-3D Dataset: A Transfer Learning Model and DCGAN Approach to Address Data Imbalance Cover

Early Skin Cancer Detection Using the SLICE-3D Dataset: A Transfer Learning Model and DCGAN Approach to Address Data Imbalance

Cybernetics and Information Technologies
Volume 25 (2025): Issue 3 (September 2025)
By: Youssera Z. Mecifi,  Mohamed Merzoug,  Abdelhak Etchiali,  Mohamed M’hamedi,  Fethallah Hadjila and  Amina Bekkouche  
Open Access
|Sep 2025

Authors

Youssera Z. Mecifi

yousserazoukha.mecifi@univ-tlemcen.dz

LRIT Laboratory, Department of Computer Science, Faculty of Science, University of Abou-Bakr Belkaid, Tlemcen, Algeria

Mohamed Merzoug

mohammed.merzoug@univ-tlemcen.dz

LRIT Laboratory, Department of Computer Science, Faculty of Science, University of Abou-Bakr Belkaid, Tlemcen, Algeria

Abdelhak Etchiali

abdelhak.etchiali@univ-tlemcen.dz

LRIT Laboratory, Department of Computer Science, Faculty of Science, University of Abou-Bakr Belkaid, Tlemcen, Algeria

Mohamed M’hamedi

mohamed.mhamedi@univ-tlemcen.dz

LRIT Laboratory, Department of Computer Science, Faculty of Science, University of Abou-Bakr Belkaid, Tlemcen, Algeria
Ecole Supérieure en Sciences Appliquées de Tlemcen, Tlemcen, Algeria

Fethallah Hadjila

fethallah.hadjila@univ-tlemcen.dz

LRIT Laboratory, Department of Computer Science, Faculty of Science, University of Abou-Bakr Belkaid, Tlemcen, Algeria

Amina Bekkouche

amina.bekkouche@univ-tlemcen.dz

LRIT Laboratory, Department of Computer Science, Faculty of Science, University of Abou-Bakr Belkaid, Tlemcen, Algeria
DOI: https://doi.org/10.2478/cait-2025-0021 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 39 - 53
Submitted on: Mar 27, 2025
|
Accepted on: Jul 4, 2025
|
Published on: Sep 25, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Skin cancer,
ISIC-2024,
DCGAN,
VGG16,
MobileNetV2
Related subjects:
Computer sciences,
Information technology

© 2025 Youssera Z. Mecifi, Mohamed Merzoug, Abdelhak Etchiali, Mohamed M’hamedi, Fethallah Hadjila, Amina Bekkouche, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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