A novel adaptive deformable model for automated optic disc and cup segmentation to aid glaucoma diagnosis

A novel adaptive deformable model for automated optic disc and cup segmentation to aid glaucoma diagnosis

This paper proposes a novel Adaptive Region- based Edge Smoothing Model (ARESM) for automatic boundary detection of optic disc and cup to aid automatic glaucoma diagnosis. The novelty of our approach consists of two aspects: 1) automatic detection of initial optimum object boundary based on a Region...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Salman Haleem, Liangxiu Han, Jano van Hemert, Baihua Li, Alan Fleming, Louis R. Pasquale, Brian J. Song
Format: Default Article
Published: 2017
Subjects:
Information systems not elsewhere classified
Other information and computing sciences not elsewhere classified
Medical image processing and analysis
Machine learning
Computer-aided retinal disease diagnosis
Glaucoma
Information Systems
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/27549
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://hdl.handle.net/2134/27549

Similar Items