CMMCSegNet: Cross-Modality Multicascade Indirect LGE Segmentation on Multimodal Cardiac MR

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/cmmm/volume-2021/9942149/figures/9942149.fig.003a.svgz" name="9942149.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>From top to bottom: original LGE, fake bSSFP, and reconstructed LGE</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/cmmm/volume-2021/9942149/figures/9942149.fig.003b.svgz" name="9942149.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>From top to Bottom: original bSSFP, fake LGE, and reconstructed bSSFP</td></tr></table>

<div>Performance evaluations of Cycle-GAN cross-modality translation.</div>

Computational and Mathematical Methods in Medicine

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Figure 3

Figure 3: CMMCSegNet: Cross-Modality Multicascade Indirect LGE Segmentation on Multimodal Cardiac MR 