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. 2019 Oct 22;22(3):402–411. doi: 10.1093/neuonc/noz199

Fig. 2.

Fig. 2

(A) T2-net overview. Voxelwise classification of IDH mutation status is performed to create 2 volumes (IDH mutated and IDH wild-type). Volumes are combined using dual volume fusion to eliminate false positives and generate a tumor segmentation volume. Majority voting across voxels is used to determine the overall IDH mutation status. (B) Network architecture for T2-net and TS-net. 3D Dense-UNets were employed with 7 dense blocks, 3 transition down blocks, and 3 transition up blocks.