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[ICASSP 2024] Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation

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RCSi

This is a reference implementation for the augmentation method introduced in the ICASSP 2024 paper "Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation".

Environment setup

conda create -n rcsi 
conda activate rcsi

pip install -r requirements.txt

Run sample codes

python rcsi.py

Citation

@INPROCEEDINGS{10447741,
  author={Yap, Boon Peng and Koon Ng, Beng},
  booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  title={Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation}, 
  year={2024},
  volume={},
  number={},
  pages={1661-1665},
  doi={10.1109/ICASSP48485.2024.10447741}}

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[ICASSP 2024] Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation

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