Predicting biochemical recurrence of prostate cancer with artificial intelligence
Pinckaers et al. develop a deep learning system to predict biochemical recurrence in prostate cancer patients treated with radical prostatectomy. The authors’ morphological biomarker provides predictive power beyond traditional Gleason grading, based on analysis of two clinical datasets from differe...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-06-01
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| coleção: | Communications Medicine |
| Acesso em linha: | https://doi.org/10.1038/s43856-022-00126-3 |
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