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1 model found

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1 public code

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1 public weights

DeepCAC

Harvard AIM Lab (Zeleznik et al.) · 2021

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Code & model weights public

Fully automatic pipeline that localizes the heart, segments coronary calcium, and produces an Agatston-style coronary artery calcium score from gated and non-gated chest/cardiac CT. A three-stage 3D CNN performs each step in sequence. Validated across the Framingham, NLST, PROMISE, and ROMICAT-II cohorts, where the resulting calcium score predicted cardiovascular events with hazard ratios up to 4.3. Developed by the Harvard AIM Lab.

Non-contrast cardiac CT

Filter by Modality:
Cardiac CT

Coronary artery calcium (CAC) scoring

Filter by Disease / Trait:
Coronary & Ischemic Disease

Segmentation

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Segmentation & Detection

CNN (3D)

Filter by Architecture:
Convolutional (CNN)

GPL 3.0

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Copyleft


Model ID: 0008

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Subject Count: 3,380