Deep learning models for cervical cancer subtyping using whole slide images
ObjectiveThis study aims to develop and evaluate an artificial intelligence-based model for cervical cancer subtyping using whole-slide images (WSI), incorporating both patch-level and WSI-level analyses to enhance diagnostic accuracy.MethodsA total of 438 whole slide images were retrieved from thre...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Frontiers Media S.A.
2025-12-01
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| Saila: | Frontiers in Oncology |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1574639/full |
| Etiketak: |
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