TY - GEN
T1 - Local patch reconstruction framework for optic cup localization in glaucoma detection
AU - Xu, Yanwu
AU - Quan, Ying
AU - Huang, Yi
AU - Tan, Ngan Meng
AU - Li, Ruoying
AU - Duan, Lixin
AU - Chen, Lin
AU - Liu, Huiying
AU - Chen, Xiangyu
AU - Wong, Damon Wing Kee
AU - Baskaran, Mani
AU - Perera, Shamira
AU - Aung, Tin
AU - Wong, Tien Yin
AU - Liu, Jiang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/2
Y1 - 2014/11/2
N2 - Optic cup localization/segmentation has attracted much attention from medical imaging researchers, since it is the primary image component clinically used for identifying glaucoma, which is a leading cause of blindness. In this work, we present an optic cup localization framework based on local patch reconstruction, motivated by the great success achieved by reconstruction approaches in many computer vision applications recently. Two types of local patches, i.e. grids and superpixels are used to show the variety, generalization ability and robustness of the proposed framework. Tested on the ORIGA clinical dataset, which comprises of 325 fundus images from a population-based study, both implementations under the proposed frameworks achieved higher accuracy than the state-of-the-art techniques.
AB - Optic cup localization/segmentation has attracted much attention from medical imaging researchers, since it is the primary image component clinically used for identifying glaucoma, which is a leading cause of blindness. In this work, we present an optic cup localization framework based on local patch reconstruction, motivated by the great success achieved by reconstruction approaches in many computer vision applications recently. Two types of local patches, i.e. grids and superpixels are used to show the variety, generalization ability and robustness of the proposed framework. Tested on the ORIGA clinical dataset, which comprises of 325 fundus images from a population-based study, both implementations under the proposed frameworks achieved higher accuracy than the state-of-the-art techniques.
UR - http://www.scopus.com/inward/record.url?scp=84929484814&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2014.6944851
DO - 10.1109/EMBC.2014.6944851
M3 - Conference contribution
C2 - 25571219
AN - SCOPUS:84929484814
T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
SP - 5418
EP - 5421
BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Y2 - 26 August 2014 through 30 August 2014
ER -