Ground truth free retinal vessel segmentation by learning from simple pixels

Ground truth free retinal vessel segmentation by learning from simple pixels

Abstract Retinal vessel segmentation is fundamental for the automatic retinal image analysis and ocular disease screening. This paper aims to learn a ground truth free feature aggregation strategy for the vessel segmentation. Five vesselness maps modelling the vessels'profile, appearance, and s...

Full description

Bibliographic Details
Main Authors: Beiji Zou, Hongpu Fu, Zailiang Chen, Qing Liu
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:IET Image Processing
Subjects:
Optical, image and video signal processing
Computer vision and image processing techniques
Other topics in statistics
Optical and laser radiation (medical uses)
Patient diagnostic methods and instrumentation
Biology and medical computing
Online Access:https://doi.org/10.1049/ipr2.12098

Internet

https://doi.org/10.1049/ipr2.12098

Similar Items