MINet: Multi-scale input network for fundus microvascular segmentation

Descriptions

This repository contains the implementations of the paper 'MINet: Multi-scale input network for fundus microvascular segmentation'.

This repository currently provides examples of implementing, training, and inferring with the core model code. It also includes guidance on running the code on sample datasets. Additionally, there are suggestions and code for visual analysis.

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Citation

If you find this code is useful in your research, please consider to cite:

@article{li2023minet,
  title={MINet: Multi-scale input network for fundus microvascular segmentation},
  author={Li, Xuecheng and Song, Jingqi and Jiao, Wanzhen and Zheng, Yuanjie},
  journal={Computers in Biology and Medicine},
  volume={154},
  pages={106608},
  year={2023},
  publisher={Elsevier}
}