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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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MSWS Network + Boundary2Patches (LAScarQS2022)

Queen Mary University of London (Khan et al.) · 2022

code

Training code public

Two-stage pipeline that segments the left atrium and quantifies atrial scar tissue from 3D late-gadolinium-enhancement cardiac MRI, supporting atrial-fibrillation ablation planning. A Multi-Scale Weight Sharing network first delineates the atrial cavity, then a boundary-patch method segments scar tissue around the detected wall. Developed at Queen Mary University of London for the LAScarQS 2022 MICCAI/STACOM segmentation challenge.

Cardiac MRI

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Cardiac MRI

Cardiac chamber segmentation

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Structural Heart & Cardiomyopathy

LGE scar burden

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Structural Heart & Cardiomyopathy

Segmentation

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Segmentation & Detection

CNN (3D)

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Convolutional (CNN)

PyTorch

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PyTorch

Model ID: 0004