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Glioma Grading Using Structural Magnetic Resonance Imaging and Molecular Data

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Figure

Fig. 1 Simplified flow diagram of our proposed method for grading in MRI, DP images with a combination of the molecular information.
Fig. 5 Presence of irregular shaped nuclei with different proportion in (a) –(c) LG and (d)–(f) GBM images.
Fig. 6 Example images of tumor segmentation using BTS. Each row shows the corresponding input MR channels (FLAIR, T 2 , and T 1 c) and the segmented tumor with the RoI indicated in red.
Fig. 9 Effect of feature dimension on classifier accuracy for (a) the BRATS dataset, (b) the TCIA MRI and IDH datasets, and (c) the TCGA DP-IDH dataset.
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