Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers

Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers

Generative adversarial networks (GANs) create images by pitting a generator (<i>G</i>) against a discriminator (<i>D</i>) network, aiming to find a balance between the networks. However, achieving this balance is difficult because <i>G</i> is trained based on just...

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Bibliographic Details
Main Authors: Guilherme Botazzo Rozendo, Bianca Lançoni de Oliveira Garcia, Vinicius Augusto Toreli Borgue, Alessandra Lumini, Thaína Aparecida Azevedo Tosta, Marcelo Zanchetta do Nascimento, Leandro Alves Neves
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Applied Sciences
Subjects:
generative adversarial networks
explainable artificial intelligence
GAN training
data augmentation
histopathological classification
vision transformers
Online Access:https://www.mdpi.com/2076-3417/14/18/8125

Internet

https://www.mdpi.com/2076-3417/14/18/8125

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