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| license: cc-by-4.0 |
| tags: [cephalometric, landmark-detection, hrnet, medical-imaging] |
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| |
| # CEPHA29 cephalometric landmark model (HRNet-W32) |
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|
| 29-landmark HRNet-W32 for automatic cephalometric landmark detection, used by |
| Cephalometry Studio for in-browser auto-tracing (ONNX Runtime Web, WASM). |
|
|
| ## Files |
| - `landmarks-cepha29.int8.onnx` — static-QDQ INT8, 768×768×3 input, output [1,29,192,192] (29 heatmaps) |
| - `landmarks-cepha29.onnx` — FP32 (same MRE) |
|
|
| ## Performance (valid split, 150 images) |
| MRE 1.24 mm · SDR@2mm 83.1% · SDR@3mm 93.7% · SDR@4mm 97.2% |
|
|
| ## Channel order (must match output index) |
| A ANS Ar B Co Gn Go LIA LIT LMT LPM Li Ls Me N N` Or PNS Pn Po Pog Pog` R S Sn UIA UIT UMT UPM |
|
|
| ## Training |
| CephaloHRNet (MIT) · HRNet-W32 ImageNet backbone · CEPHA29/Aariz averaged annotations. |
|
|
| ## Dataset & attribution |
| Trained on the **Aariz Cephalometric Dataset (CEPHA29)** — Figshare, **CC BY 4.0**, |
| DOI 10.6084/m9.figshare.27986417. Training code: **CephaloHRNet** (MIT). Backbone: |
| HRNet-W32 ImageNet (`hrnet_w32.ms_in1k`, Apache-2.0). |
|
|
| ## Disclaimer |
| Research and education only. **Not a medical device**; not for diagnosis or treatment. |
