Fig. 3From: Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinomaComparison of AUCs among three prediction models using different combinations of radiomic features (n = 1, 5, 10, 15 and 20) in the testing cohort. a-c model 1 using features derived from medial temporal lobe, gray matter, and white matter respectively. d-f model 2 using features derived from medial temporal lobe, gray matter, and white matter respectively. g-i model 3 using features derived from medial temporal lobe, gray matter, and white matter respectivelyBack to article page