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DL in gliomas. DL applications using clinical images are broadly divided into two parts—basic tasks part including gliomas grading, gliomas detection, glioma image segmentation, and glioma subtyping, and advanced tasks part including glioma patients' survival prediction and patients' genes mutation status prediction. DL, deep learning.
