This project contains detailed analysis and comparison of 3 different methods for solving problem of fundus retinal vessel segmentation. It was made as final project for the 6-th semester Computer Science in Medicine subject course at Poznan University of Technology.

All code was merged as part of report in eye_fundus.ipynb. Inside 3 methods of approaching this problem are outlined:

• rf - Ridge Filtering - Using CV image-related functions and ridge filters
• ml - Machine Learning - Using well-established machine learning classifiers for image chunks
• dl - Deep Learning - Using Deep Neural Network with U-net architecture

References:

• Liskowski, Krawiec 2016 - Segmenting Retinal Blood Vessels With Deep Neural Networks
• HRF Dataset - https://www5.cs.fau.de/research/data/fundus-images/