3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in pulmorary-vessel-segmentation-1
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Use these libraries to find pulmorary-vessel-segmentation-1 models and implementations
The proposed CNN-GCN method combines local image information with graph connectivity information, improving pulmonary A/V separation over a baseline CNN method, approaching the performance of human observers.
Adding a benchmark result helps the community track progress.