| --- |
| license: cc-by-nc-4.0 |
| library_name: pytorch |
| tags: |
| - surgical-video |
| - laparoscopic-cholecystectomy |
| - critical-view-of-safety |
| - image-classification |
| - semantic-segmentation |
| - knowledge-distillation |
| --- |
| |
| # EdgeCVS |
|
|
| Models from [**EdgeCVS: Democratization of Surgical AI with a Distilled Edge-Deployable |
| Critical View of Safety (CVS) Model**](https://papers.miccai.org/miccai-2026/paper/1745_paper.pdf) (MICCAI 2026). |
| |
| EdgeCVS assesses the three Critical View of Safety criteria in laparoscopic cholecystectomy |
| from single frames, with a small model distilled from large multi-task teachers that runs in |
| real time on a CPU. |
| |
| Code: [github.com/IMSY-DKFZ/edgecvs](https://github.com/IMSY-DKFZ/edgecvs) |
| |
| ## Models |
| |
| Each model lives in its own folder, named like the code's `exp` option: |
| |
| | Model (`exp`) | Backbone | Params | Weights | SAGES-CVS 2024 test mAP | |
| |---|---|---|---|---| |
| | [`edgecvs-5m`](edgecvs-5m/) | EdgeNeXt-Small | 5.6M | fp16, 11 MB | 66.4 | |
| |
| ``` |
| edgecvs-5m/ |
| ├── config.yaml model configuration used to build the network |
| └── edgecvs-5m-fold0.safetensors weights (fold 0, fp16; loaded into an fp32 model) |
| ``` |
| |
| ## EdgeCVS-5M |
| |
| - **Input:** RGB frame, resized to 448×448, ImageNet normalization |
| - **Output:** probabilities for C1 (two structures), C2 (hepatocystic triangle) and |
| C3 (cystic plate); optional 7-class anatomy segmentation (background, cystic plate, |
| hepatocystic triangle, cystic artery, cystic duct, gallbladder, tool) |
| - **Deployment:** the segmentation head is optional; the classifier alone is used for the CSV |
| predictions and the speed figures below |
| |
| |
| ## License |
| |
| CC BY-NC 4.0: the models are trained on data released for non-commercial use. |
| |
| ## Citation |
| |
| ```bibtex |
| @InProceedings{YamAmi_EdgeCVS_MICCAI2026, |
| author = { Yamlahi, Amine AND Hennighausen, Jakob AND Hansen, Pascal AND Leeb, David AND Maier-Hein, Lena}, |
| title = { { EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model } }, |
| booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026}, |
| year = {2026}, |
| publisher = {Springer Nature Switzerland}, |
| volume = {LNCS 16892}, |
| month = {September}, |
| page = {pending} |
| } |
| ``` |
| |
