CMR Annotator JDL Myocardium and Scar Segmentation
Weight-only repository for the browser-side Joint Deep Learning (JDL) myocardium and scar segmentation modules in CMR Annotator.
The two-stage scar pipeline:
- Segment myocardium, either with
jdl_myocardium.onnxor another compatible CMR Annotator myocardium provider. - Resize and soften the myocardium mask, multiply it with the normalized LGE
image, and pass the weighted image to
jdl_scar.onnx. - Decode the scar logits and map the result back into the source image space.
Both models accept float32 tensors shaped [N, 1, 224, 224] under the input
name image and return float32 logits shaped [N, 2, 224, 224] under the
output name logits.
Checkpoints
| File | Size | SHA-256 |
|---|---|---|
checkpoints/jdl_myocardium.onnx |
421.7 MB | acaa352d106268c581b84da3a2627a96ee755d6488a5d6b0421376ca4997d17d |
checkpoints/jdl_scar.onnx |
421.7 MB | 0589305742e065b3c7410b6934a6e93955825dc77ebefe30da915fe8e5703ee0 |
These checkpoints are large and are downloaded only when their corresponding CMR Annotator action or dependency is first run. CMR Annotator verifies the declared SHA-256 checksum and caches the verified bytes in IndexedDB.
Intended use
These research checkpoints produce candidate annotations for expert review; they are not a standalone clinical diagnostic device. The original JDL myocardium model is short-axis biased. CMR Annotator therefore uses its newer all-view myocardium provider by default and exposes JDL myocardium as an explicit alternative.