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CVAI Catalog

Cardiovascular artificial intelligence models for discovery, comparison, and reuse

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1 model found

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1 public code

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0 public weights

Hybrid-loss whole-heart CT segmentation (MMWHS)

CUHK (Yang et al.) · 2017

code

Training code public

3D CNN that segments seven cardiac substructures - both ventricles, both atria, the LV myocardium, ascending aorta, and pulmonary artery trunk - from cardiac CT angiography. Trained with a hybrid loss function combining multiple segmentation objectives. Developed at CUHK for the MICCAI 2017 Multi-Modality Whole Heart Segmentation (MM-WHS) challenge.

CT angiography

Filter by Modality:
Cardiac CT

Cardiac chamber segmentation

Filter by Disease / Trait:
Structural Heart & Cardiomyopathy

Segmentation

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Segmentation & Detection

CNN (3D)

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Convolutional (CNN)

Model ID: 0009

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Subject Count: 60