Splenomegaly Segmentation On Multi-Modal Mri

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Most implemented papers

Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth

MASILab/SynSeg-Net 20 Dec 2017

Herein, we proposed a novel end-to-end synthesis and segmentation network (EssNet) to achieve the unpaired MRI to CT image synthesis and CT splenomegaly segmentation simultaneously without using manual labels on CT.