| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| base_model: |
| - YukunZhou/RETFound_dinov2_meh |
| pipeline_tag: image-classification |
| tags: |
| - Indocyanine Green Angiography (ICGA) |
| - binary classification |
| - RETFound |
| --- |
| # RETFound-DINOv2 (CNV_ICGA) |
| |
| Classification of Choroidal Neovascularization (CNV) on Indocyanine Green Angiography (ICGA) images. |
| |
| Binary classification: 1 (YES), 0 (NO) |
| |
| This model is obtained by finetuning the pretrained model available in HuggingFace at this [link](https://huggingface.co/YukunZhou/RETFound_dinov2_meh). |
| |
| Trained on: [AngioReport](https://pubmed.ncbi.nlm.nih.gov/40610046/) |
| |
| ## Usage |
| |
| Check instruction at the following [repository](https://gitlab.idiap.ch/medai/software/paper/fm-overspecialization) |
| |
| ## Model output structure |
| |
| `[batch_size, num_classes]` (`num_classes=1`) |
|
|
| ## Related publication(s) |
|
|
| ``` |
| @article{xu_angioreport_2025, |
| title = {{AngioReport}: dataset and baseline methods for fundus angiography report generation}, |
| issn = {0007-1161}, |
| url = {https://bjo.bmj.com/content/early/2025/07/02/bjo-2024-327006}, |
| doi = {10.1136/bjo-2024-327006}, |
| journal = {British Journal of Ophthalmology}, |
| author = {Xu, Pusheng and Chotcomwongse, Peranut and Zhang, Weiyi and Chen, Xiaolan and Wu, Xinyuan and Chung, Florence H T and Zhang, Xueli and He, Mingguang and Shi, Danli and Ruamviboonsuk, Paisan}, |
| year = {2025}, |
| } |
| @misc{he2021maskedautoencodersscalablevision, |
| title={Masked Autoencoders Are Scalable Vision Learners}, |
| author={Kaiming He and Xinlei Chen and Saining Xie and Yanghao Li and Piotr Dollár and Ross Girshick}, |
| year={2021}, |
| eprint={2111.06377}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2111.06377}, |
| } |
| ``` |
|
|
| ## Author(s) |
|
|
| * Roberto Pulvirenti, Idiap Research Institute |
