DocumentCode
3238052
Title
A field of experts model for optic cup and disc segmentation from retinal fundus images
Author
Mahapatra, Dwarikanath ; Buhmann, Joachim M.
Author_Institution
Dept. of Comput. Sci., ETH Zurich, Zurich, Switzerland
fYear
2015
fDate
16-19 April 2015
Firstpage
218
Lastpage
221
Abstract
We present a Field of Experts (FoE) model to segment the optic cup and disc from retinal fundus images. FoE learns a prior model of the cup and neuro-retinal rim region in the form of filters, without relying on hand crafted features. FoE filter responses are integrated into a Random forest (RF) classifier that outputs probability maps for the test image and finally segments the cup and rim. Experimental results show our method achieves significantly better performance than current state-of-the-art.
Keywords
eye; image segmentation; medical image processing; probability; FoE; disc segmentation; experts model; optic cup; probability maps; random forest classifier; retinal fundus images; Adaptive optics; Biomedical optical imaging; Image segmentation; Optical imaging; Radio frequency; Retina; Training; CDR; Field of Experts; glaucoma; optic cup; optic disc; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location
New York, NY
Type
conf
DOI
10.1109/ISBI.2015.7163853
Filename
7163853
Link To Document