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Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Lenz, Tim, Nahhas, Omar S. M. El, Ligero, Marta, Kather, Jakob Nikolas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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