Paper Info
Title
An ensembling approach for optic cup detection based on spatial heuristic analysis in retinal fundus images.
Abstract
Optic cup detection remains a challenging task in retinal image analysis, and is of particular importance for glaucoma evaluation, where disease severity is often assessed by the size of the optic cup. In this paper, we propose spatial heuristic ensembling (SHE), an approach which aims to fuse the advantages of each method based on the specific performance in each defined sector. In this way, we generate an ensembled optic cup which is obtained from the optimal combination of the component methods. We conduct experiments on the ORIGA data set of 650 retinal images and show that the ensemble approach performs better than the individual segmentations, reducing the relative overlap error, and CDR errors by as much as 0.04 CDR units. The results are promising for the continued development of such an approach for improving optic cup segmentation.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6346207
EMBC
Keywords
Field
DocType
eye,retinal fundus images,ensembled optic cup,biomedical optical imaging,cdr errors,component methods,image segmentation,spatial heuristic analysis,relative overlap error,retinal image analysis,glaucoma evaluation,vision defects,optic cup segmentation,disease severity,optic cup detection,spatial heuristic ensembling,origa data set,medical image processing
Computer vision,Glaucoma,Heuristic,Computer science,Segmentation,Fundus (eye),Image segmentation,Artificial intelligence,Optic cup (anatomical),Retinal,Fuse (electrical)
Conference
Volume
ISSN
ISBN
2012
1557-170X
978-1-4577-1787-1
Citations 
PageRank 
References 
3
0.40
4
Authors
8
Name
Order
Citations
PageRank
Damon Wing Kee Wong143437.78
Jiang Liu229942.50
Ngan Meng Tan317515.21
Fengshou Yin41259.66
Carol Y Cheung5514.69
Mani Baskaran6566.87
Tin Aung716612.81
Tien Yin Wong8596.85