A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformers.
Recent advancements in deep learning have shown promise in enhancing the performance of medical image analysis. In pathology, automated whole slide imaging has transformed clinical workflows by streamlining routine tasks and diagnostic and prognostic support. However, the lack of transparency of dee...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2025-04-01
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| coleção: | PLOS Digital Health |
| Acesso em linha: | https://doi.org/10.1371/journal.pdig.0000792 |
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