arXiv Open Access 2025

Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas

Andreza M. C. Falcao Filipe R. Cordeiro

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Abstrak

Machine unlearning aims to remove private or sensitive data from a pre-trained model while preserving the model's robustness. Despite recent advances, this technique has not been explored in medical image classification. This work evaluates the SalUn unlearning model by conducting experiments on the PathMNIST, OrganAMNIST, and BloodMNIST datasets. We also analyse the impact of data augmentation on the quality of unlearning. Results show that SalUn achieves performance close to full retraining, indicating an efficient solution for use in medical applications.

Topik & Kata Kunci

eess.IV cs.AI cs.CV

Penulis (2)

Andreza M. C. Falcao

Filipe R. Cordeiro

Format Sitasi

APA MLA BibTeX

Falcao, A.M.C., Cordeiro, F.R. (2025). Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas. https://arxiv.org/abs/2508.18509

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓