MM-WHS 2017
The MM-WHS 2017 dataset is a dataset for multi-modality whole heart segmentation. It provides 20 labeled and 40 unlabeled CT volumes, as well as 20 labeled and 40 unlabeled MR volumes. In total there are 120 multi-modality cardiac images acquired in a real clinical environment.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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Multi-Modality Whole Heart Segmentation Challenge 2017
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SIFA
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MM-WHS 2017
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ACINet
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Papers
| Paper | Code | Results | Date | Stars |
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