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Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer
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G. MÜTEVELİZADE Et Al. , "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer," Nuclear Medicine Communications , 2025

MÜTEVELİZADE, G. Et Al. 2025. Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer. Nuclear Medicine Communications .

MÜTEVELİZADE, G., Aydin, N., Duran Can, O., TEKE, O., Suner, A. F., ERDUĞAN, M., ... Sayit, E.(2025). Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer. Nuclear Medicine Communications .

MÜTEVELİZADE, GÖZDE Et Al. "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer," Nuclear Medicine Communications , 2025

MÜTEVELİZADE, GÖZDE Et Al. "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer." Nuclear Medicine Communications , 2025

MÜTEVELİZADE, G. Et Al. (2025) . "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer." Nuclear Medicine Communications .

@article{article, author={GÖZDE MÜTEVELİZADE Et Al. }, title={Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer}, journal={Nuclear Medicine Communications}, year=2025}