Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images

Vinicius Augusto Toreli Borgue, Bianca Lançoni de Oliveira Garcia, Sérgio Augusto Pelicano Júnior, Guilherme Roberto, Guilherme Botazzo Rozendo, Leandro Neves, Alessandro Santana Martins, Thaína Tosta, Marcelo Zanchetta do Nascimento

2025

Abstract

In computer vision, one of the main challenges regarding the classification of histopathology images lies on the low number of samples available in public image datasets. For the past year, the most common approaches applied to handle this problem consisted of using geometric data augmentation to increase the dataset size. Recently, the use of GANs to generate artificial images to increase the size of the training set for the classification of histology images has been proposed. Despite obtaining promising results in the deep learning context, there has not yet been much research regarding the use of these approaches in the context of handcrafted features. In this paper, we propose the use of handcrafted features based on fractal geometry and GANs for data augmentation for classifying four histology image datasets. The GANs were assisted by explainable artificial intelligence (XAI) to enhance the quality of the generated images. The fractal features obtained from the original and artificial images were given as input to six classifiers. After analyzing the results, we verified that, despite obtaining the best overall performance, our method was only able to provide a slight improvement in two datasets.

Paper Citation

in Harvard Style

Borgue V., Garcia B., Pelicano Júnior S., Roberto G., Rozendo G., Neves L., Martins A., Tosta T. and Zanchetta do Nascimento M. (2025). Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 756-762. DOI: 10.5220/0013280200003929

in Bibtex Style

@conference{iceis25,
author={Vinicius Borgue and Bianca Garcia and Sérgio Pelicano Júnior and Guilherme Roberto and Guilherme Rozendo and Leandro Neves and Alessandro Martins and Thaína Tosta and Marcelo Zanchetta do Nascimento},
title={Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={756-762},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013280200003929},
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 - Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images
SN - 978-989-758-749-8
AU - Borgue V.
AU - Garcia B.
AU - Pelicano Júnior S.
AU - Roberto G.
AU - Rozendo G.
AU - Neves L.
AU - Martins A.
AU - Tosta T.
AU - Zanchetta do Nascimento M.
PY - 2025
SP - 756
EP - 762
DO - 10.5220/0013280200003929
PB - SciTePress