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Exploring Data Preparation Strategies: A Comparative Analysis of Vision Transformer and ConvNext Architectures in Breast Cancer Histopathology Classification Cover

Exploring Data Preparation Strategies: A Comparative Analysis of Vision Transformer and ConvNext Architectures in Breast Cancer Histopathology Classification

International Journal of Applied Mathematics and Computer Science
Volume 35 (2025): Issue 2 (June 2025)
By: Mikołaj Kaczmarek,  Marek Kowal and  Józef Korbicz  
Open Access
|Jun 2025

Authors

Mikołaj Kaczmarek

20000943@stud.uz.zgora.pl

Doctoral School of Exact and Technical Sciences, University of Zielona Góra, al. Wojska Polskiego 69, Zielona Góra, Poland

Marek Kowal

M.Kowal@issi.uz.zgora.pl

Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland

Józef Korbicz

J.Korbicz@issi.uz.zgora.pl

Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland
DOI: https://doi.org/10.61822/amcs-2025-0023 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 329 - 339
Submitted on: Jan 10, 2025
Accepted on: Mar 27, 2025
Published on: Jun 24, 2025
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
vision transformer,
ConvNeXT,
BreakHis,
data preparation,
image classification
Related subjects:
Mathematics,
Applied mathematics

© 2025 Mikołaj Kaczmarek, Marek Kowal, Józef Korbicz, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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