Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images
Abstract Computational pathology is a rapidly expanding area for research due to the current global transformation of histopathology through the adoption of digital workflows. Survival prediction of breast cancer patients is an important task that currently depends on histopathology assessment of ca...
| Principais autores: | , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Nature Portfolio
2022-08-01
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| coleção: | Scientific Reports |
| Acesso em linha: | https://doi.org/10.1038/s41598-022-18647-1 |