MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Fuente: arXiv

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Bibliographic Details
Main Authors:	Di Salvo, Francesco, Doerrich, Sebastian, Ledig, Christian
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2406.17536