Add JDL model card

7e15b16 verified 1 day ago

1.75 kB

license: other
library_name: onnxruntime
pipeline_tag: image-segmentation
tags:
  - cardiac-mri
  - lge
  - myocardium-segmentation
  - scar-segmentation
  - onnx

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.onnx or 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.