An Integrated Clinical‐Radiomics‐Deep Learning Model Based on 18F‐FDG PET/CT for Predicting EGFR Mutation Status in Lung Adenocarcinoma
ABSTRACT Background An integrated model combining clinical variables, radiomic features, and deep learning was developed to predict EGFR mutation status in patients with lung adenocarcinoma based on pretreatment 18F‐FDG PET/CT imaging. Methods In this retrospective study, data from 218 patients—incl...
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| Главные авторы: | , , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2025-11-01
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| Серии: | Cancer Medicine |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1002/cam4.71370 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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