Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images.
Eugenia MorisNicolás DazeoMaria Paula Albina de RuedaFrancisco FilizzolaNicolás IannuzzoDanila NejamkinKevin WignallMercedes LeguíaIgnacio LarrabideJosé Ignacio OrlandoPublished in: CoRR (2022)
Keyphrases
- fundus images
- optic disc
- coarse to fine
- learning models
- optic disk
- multiscale
- multiresolution
- retinal images
- vascular tree
- image registration
- blood vessels
- object detection
- machine learning
- loss function
- learning algorithm
- conditional random fields
- optical coherence tomography
- semi supervised learning
- segmentation scheme
- active shape model
- vessel segmentation
- diabetic retinopathy
- image processing