Model implementation of Paper "Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention" (MICCAI 2024)
The dataset is self-collected and would not be public due to privacy and ethics. We believe that the models can also be helpful.
torch==2.1.1
timm==0.9.12If you find the repo helpful, please cite our paper.
@inproceedings{zhou2024refining,
title={Refining intraocular lens power calculation: A multi-modal framework using cross-layer attention and effective channel attention},
author={Zhou, Qian and Zou, Hua and Wang, Zhongyuan and Jiang, Haifeng and Wang, Yong},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={754--763},
year={2024},
organization={Springer}
}