Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, and Yitian Zhao

• [arXiv]
• [BibTex]

In this repository, we release code for iris segmentation in Pytorch. Our WRB-Net can be applied to many kinds of medical images segmentation.

Training and Evaluation

Model Training and evaluation can be done:

python train.py

Some Segmentation Result

3D Iris Reconstruction

This paper is aimed to reconstruct and quantificate 3D iris, more details about this part could be found in paper.

Citing This Paper

If you use this code,please use the following BibTeX entry.

@article{hao2020reconstruction,
  title={Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT},
  author={Hao, Jinkui and Fu, Huazhu and Xu, Yanwu and Hu, Yan and Li, Fei and Zhang, Xiulan and Liu, Jiang and Zhao, Yitian},
  journal={arXiv preprint arXiv:2006.05179},
  year={2020}
}