Retina Vessel Segmentation based on Frangi vesselness filter and UNet architecture.

I propose the following pipeline in order to perform vessel segmentation :

1. A preprocessing step which consists to enhance vessels structures with a Frangi filter.
2. A UNet architecture to learn a segmentation model.

This repo contains :

• A notebook about retina vessel enhancement with Frangi vesselness filter.
• Python files to train a UNet network for performing segmentation.

Results

References :

• [1] Z. Jadoon et al., Retinal Blood Vessels Segmentation using ISODATA and High Boost Filter
• [2] A. Longo et al., Assessment of hessian-based Frangi vesselness filter in optoacoustic imaging, disponible ici : https://mediatum.ub.tum.de/doc/1600558/1600558.pdf
• [3] U-Net: Convolutional Networks for Biomedical Image Segmentation
• [4] https://github.com/nikhilroxtomar/Retina-Blood-Vessel-Segmentation-in-PyTorch/tree/main