metadata
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.
Trained on: AngioReport
Usage
Check instruction at the following repository
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