LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.
Jonathan FhimaJan Van EijgenHana KulenovicValérie DebeufMarie VangilbergenMarie-Isaline BillenHeloïse BrackenierMoti FreimanIngeborg StalmansJoachim A. BeharPublished in: CoRR (2023)
Keyphrases
- deep learning
- fundus images
- optic disc
- high resolution
- blood vessels
- optical coherence tomography
- machine learning
- unsupervised learning
- low resolution
- segmentation algorithm
- segmentation method
- vessel segmentation
- level set
- super resolution
- region growing
- image segmentation
- diabetic retinopathy
- medical images
- mental models
- retinal images
- multiscale
- remote sensing
- weakly supervised
- automated segmentation
- energy function
- image analysis
- image processing
- computer vision