Artificial intelligence in the diagnosis of uveal melanoma: advances and applications
Advancements in machine learning and deep learning have the potential to revolutionize the diagnosis of melanocytic choroidal tumors, including uveal melanoma, a potentially life-threatening eye cancer. Traditional machine learning methods rely heavily on manually selected image features, which can...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-02-01
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| coleção: | Experimental Biology and Medicine |
| Assuntos: | |
| Acesso em linha: | https://www.ebm-journal.org/articles/10.3389/ebm.2025.10444/full |
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