Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Ngan Meng Tan"'
Autor:
Tien Yin Wong, Dacheng Tao, Ching-Yu Cheng, Ngan Meng Tan, Jun Cheng, Jiang Liu, Damon Wing Kee Wong, Yanwu Xu, Tin Aung, Fengshou Yin
Publikováno v:
IEEE Transactions on Medical Imaging. 32:1019-1032
Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. Current tests using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. Optic ner
Autor:
Damon Wing Kee Wong, Fengshou Yin, Ngan Meng Tan, Jun Cheng, Zhuo Zhang, Ai Ping Yow, Ying Quan, Beng Hai Lee, Jiang Liu, Yanwu Xu, Kavitha Gopalakrishnan
Publikováno v:
EMBC
In recent years, there has been increasing interest in the use of automatic computer-based systems for the detection of eye diseases including glaucoma. However, these systems are usually standalone software with basic functions only, limiting their
Autor:
Damon Wing Kee Wong, Seang-Mei Saw, Dacheng Tao, Tien Yin Wong, Jiang Liu, Ngan Meng Tan, Jun Cheng
Publikováno v:
IEEE Transactions on Medical Imaging. 31:2355-2365
Peripapillary atrophy (PPA) is an atrophy of pre-existing retina tissue. Because of its association with eye diseases such as myopia and glaucoma, PPA is an important indicator for diagnosis of these diseases. Experienced ophthalmologists are able to
Autor:
Tin Aung, Shamira A. Perera, Ruoying Li, Tien Yin Wong, Lin Chen, Xiangyu Chen, Damon Wing Kee Wong, Lixin Duan, Mani Baskaran, Ying Quan, Yi Huang, Jiang Liu, Huiying Liu, Ngan Meng Tan, Yanwu Xu
Publikováno v:
EMBC
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 op
Autor:
Jun Cheng, Ai Ping Yow, Ngan Meng Tan, Fengshou Yin, Ying Quan, Jiang Liu, Guozhen Xu, Yanwu Xu, Damon Wee Kee Wong, Gopalakrishnan Kavitha, Ruoying Li, Zhuo Zhang
Publikováno v:
Proceedings of the Ophthalmic Medical Image Analysis First International Workshop.
Myopia is the leading public health concern with high prevalence in developed countries. In this paper, we present the ACHIKO-M fundus image database with both myopic and emmetropic cases for high myopia study. The database contains 705 myopic subjec
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 40
This paper presents an optimal model integration framework to robustly localize the optic cup in fundus images for glaucoma detection. This work is based on the existing superpixel classification approach and makes two major contributions. First, it
Autor:
Ngan Meng Tan, Beng Hai Lee, Fengshou Yin, Zhuo Zhang, Damon Wing Kee Wong, Jiang Liu, Yanwu Xu, Thet Htoo, Xinting Gao
Publikováno v:
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).
Retinal fundus image is a widely used image modality to diagnose ocular diseases such as glaucoma, age-related macular degeneration and diabetic retinopathy. There are a number of fundus image databases available online. However, most of them are use
Publikováno v:
ISBI
In this paper, we present an unsupervised framework using domain priors extracted from the primary structures of the optic nerve head for automated optic cup localization. Our approach provides 3 major contributions. First, we identify a new domain p
Autor:
Tien Yin Wong, Ngan Meng Tan, Zhuo Zhang, Damon Wing Kee Wong, Yanwu Xu, Seang-Mei Saw, Jiang Liu
Publikováno v:
ISBI
Pathological myopia is a leading cause of visual impairment, and can lead to blindness in children if left undetected. We present a bag-of-feature and sparse learning based framework to automatically recognize pathological myopia in retinal fundus im
Autor:
Shamira A. Perera, Beng Hai Lee, Mani Baskaran, Damon Wing Kee Wong, Tin Aung, Yanwu Xu, Jiang Liu, Ngan Meng Tan
Publikováno v:
EMBC
Scopus-Elsevier
Scopus-Elsevier
Glaucoma subtype can be identified according to the configuration of the anterior chamber angle(ACA). In this paper, we present an ACA classification approach based on histograms of oriented gradients at multiple scales. In digital optical coherence