A patient-aware benchmarking of CNN and transformer architectures for breast cancer histopathology classification
IntroductionBreast cancer diagnosis using histopathological imaging remains a critical yet challenging task, requiring automated systems that generalize reliably across patients and varying imaging conditions. While deep learning models have shown strong performance, many prior studies employ image-...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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Frontiers Media S.A.
2026-05-01
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| Serie: | Frontiers in Digital Health |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fdgth.2026.1752938/full |
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