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...
Сохранить в:
| Главные авторы: | , , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2026-04-01
|
| Серии: | Communications Medicine |
| Online-ссылка: | https://doi.org/10.1038/s43856-026-01567-w |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|