Retinal Vessel Segmentation

Matlab and python implementation of retinal blood vessel segmentation

Matlab program interface display

The realization of specific algorithm in MATLAB

Matlab program interface display

Environment

·Pytorch
·OpenCV
·PIL
·imageio
·albumentations
·segmentation_models_pytorch
·PyQT

Reference

[1] Achintha Iroshan (2020). Segmentation of blood vessels in retinal fundus images using maximum principal curvature (https://www.mathworks.com/matlabcentral/fileexchange/64884-segmentation-of-blood-vessels-in-retinal-fundus-images-using-maximum-principal-curvature), MATLAB Central File Exchange. Retrieved March 19, 2020.

[2] https://github.com/adarshmisra98/Blood-vessel-detection

[3] https://github.com/RobertDachsel/Real-Time_Retinal_Vessel_Segmentation

[4] Dachsel R., Jöster A., Breuß M. (2019) Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids. In: Lee C., Su Z., Sugimoto A. (eds) Image and Video Technology. PSIVT 2019. Lecture Notes in Computer Science, vol 11854. Springer, Cham

[5] https://github.com/Teeerry/retinal-vessels-segment

[6] https://github.com/qubvel/segmentation_models.pytorch

[7] https://github.com/albumentations-team/albumentations

[8] O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” in International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 2015, pp. 234–241

[9] https://github.com/wkentaro/pytorch-fcn