Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology
Abstract Machine learning is transforming the field of histopathology. Especially in classification related tasks, there have been many successful applications of deep learning already. Yet, in tasks that rely on regression and many niche applications, the domain lacks cohesive procedures that are a...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Acceso en liña: | https://doi.org/10.1038/s41598-023-35370-7 |
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