Deep learning-based radiomics (DLR) was developed on a dataset of 151 patients with low-grade glioma with multiple modalities of magnetic resonance (MR) images for predicting the mutation status of IDH1, and achieved ACC of 0.91 and AUC of 0.96 [16]. Here, IDH1 is linked to glioma.