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HISTAI: a valuable dataset with a valuable lesson

Abstract The application of artificial intelligence in computational pathology depends on both robust algorithms and high‐quality, clinically reliable data. Progress in this field has been limited by the scarcity of large, diverse, and well‐validated whole slide image (WSI) datasets. To address this...

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Autori principali: Katherine J Hewitt, Nic G Reitsam, Sebastian Foersch, Ramona Erber, Qinghe Zeng, Jakob Nikolas Kather
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2026-05-01
Serie:The Journal of Pathology: Clinical Research
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Accesso online:https://doi.org/10.1002/2056-4538.70089
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