Browser-based cardiac MRI segmentation at cmrsegmentation.org.
All inference runs locally via ONNX Runtime Web (WebAssembly). No patient data leaves the browser.
MobileUNetV2 trained with knowledge distillation (T=3.0, W=0.99) on ACDC + M&Ms datasets.
| Metric | Value |
|---|---|
| Parameters | 2.09M |
| ONNX size | 8.3 MB |
| Mean Dice | 0.883 |
| Browser inference | ~50-100 ms/frame |
Serve locally:
python3 -m http.server 8080Automated via GitHub Actions to Cloudflare Pages on push to main.
Required secrets:
CLOUDFLARE_API_TOKEN— API token with Cloudflare Pages edit permissionCLOUDFLARE_ACCOUNT_ID— Cloudflare account ID
Feng X, Huang G, Meyer CH. CPU-based fast cardiac cine MRI segmentation using lightweight CNNs and knowledge distillation. NMR in Biomedicine (under review).