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---
license: mit
pipeline_tag: image-segmentation
repository: https://github.com/ZombaSY/FSG-Net-pytorch
---
# Full-scale Representation Guided Network for Retinal Vessel Segmentation
This repository contains the Full-Scale Guided Network (FSG-Net), a novel approach for retinal vessel segmentation. FSG-Net introduces a feature representation module that effectively captures full-scale structural information using modernized convolution blocks. A guided convolution block then refines this information, leveraging an attention-guided filter similar to unsharp masking to enhance fine vascular structures. This architecture delivers competitive performance for retinal vessel segmentation across multiple public datasets.
The model was presented in the paper [Full-scale Representation Guided Network for Retinal Vessel Segmentation](https://huggingface.co/papers/2501.18921) ([arXiv:2501.18921](https://arxiv.org/abs/2501.18921)).
Code: [https://github.com/ZombaSY/FSG-Net-pytorch](https://github.com/ZombaSY/FSG-Net-pytorch)
## Experimental Results
The model achieves competitive performance across several public datasets:
| Dataset | mIoU | F1 score | Acc | AUC | Sen | MCC |
| :---------- | :----- | :------- | :----- | :----- | :----- | :----- |
| DRIVE | 84.068 | 83.229 | 97.042 | 98.235 | 84.207 | 81.731 |
| STARE | 86.118 | 85.100 | 97.746 | 98.967 | 86.608 | 83.958 |
| CHASE\_DB1 | 82.680 | 81.019 | 97.515 | 99.378 | 85.995 | 79.889 |
| HRF | 83.088 | 81.567 | 97.106 | 98.744 | 83.616 | 80.121 |
## Usage
For detailed instructions on environment setup, dataset preparation, training, and inference, please refer to the [official GitHub repository](https://github.com/ZombaSY/FSG-Net-pytorch). Pre-trained models for each dataset can also be found on the [GitHub releases page](https://github.com/ZombaSY/FSG-Net-pytorch/releases/tag/1.1.0).
## Citation
If you find this work helpful or inspiring, please consider citing our paper:
```bibtex
@article{seo2025fullscalerepresentationguidednetwork,
title = {Full-scale Representation Guided Network for Retinal Vessel Segmentation},
author = {Sunyong Seo, Huisu Yoon, Semin Kim, Jongha Lee},
journal = {arXiv preprint arXiv:2501.18921},
year = {2025}
}
``` |