Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome
Abstract Background Accurate prediction of clinical outcomes is challenging yet important for patient care. The aim of the study was to evaluate a deep learning-based methodology using tissue-wise information, as a proof of concept, for predicting parameters known to be associated with clinical outc...
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| Hoofdauteurs: | , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Nature Portfolio
2026-04-01
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| Reeks: | Communications Medicine |
| Online toegang: | https://doi.org/10.1038/s43856-026-01567-w |
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