An Evaluation for Automated Cup-Disc-Ratio Assessment System for Digital Fundus Images

被引：0
|
作者：
Tan, N. [1 ]
Zhang, Z. [1 ]
Yin, F. [1 ]
Lee, B. [1 ]
Li, H. [1 ]
Cheng, J. [1 ]
Aung, T. [2 ]
Zheng, Y. [3 ]
Cheung, C. Y. [4 ]
Wong, T. Y. [5 ]
机构：
[1] Inst Infocomm Res, Singapore, Singapore
[2] Singapore Natl Eye Ctr, Glaucoma, Singapore, Singapore
[3] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore
[4] Singapore Eye Res Inst, Singapore, Singapore
[5] Natl Univ Singapore, Singapore Eye Res Inst, Singapore, Singapore
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2010年 / 51卷 / 13期
关键词：
image processing; imaging/image analysis: clinical;
D O I：
暂无
中图分类号：
R77 [眼科学];
学科分类号：
100212 ;
摘要：
1796
引用
收藏
页数：2
相关论文
共 50 条
  • [31] Automatic Cup-to-Disc Ratio Estimation Using Active Contours and Color Clustering in Fundus Images for Glaucoma Diagnosis
    Fondon, Irene
    Nunez, Francisco
    Tirado, Mercedes
    Jimenez, Soledad
    Alemany, Pedro
    Abbas, Qaisar
    Serrano, Carmen
    Acha, Begona
    IMAGE ANALYSIS AND RECOGNITION, PT II, 2012, 7325 : 390 - 399
  • [32] Agreement among ophthalmologists in marking the optic disc and optic cup in fundus images
    Almazroa, Ahmed
    Alodhayb, Sami
    Osman, Essameldin
    Ramadan, Eslam
    Hummadi, Mohammed
    Dlaim, Mohammed
    Alkatee, Muhannad
    Raahemifar, Kaamran
    Lakshminarayanan, Vasudevan
    INTERNATIONAL OPHTHALMOLOGY, 2017, 37 (03) : 701 - 717
  • [33] An Adaptive Threshold Based Algorithm for Optic Disc and Cup Segmentation in Fundus Images
    Issac, Ashish
    Parthasarthi, M.
    Dutta, Malay Kishore
    2ND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) 2015, 2015, : 143 - 147
  • [34] Graph convolutional network based optic disc and cup segmentation on fundus images
    Tian, Zhiqiang
    Zheng, Yaoyue
    Li, Xiaojian
    Du, Shaoyi
    Xu, Xiayu
    BIOMEDICAL OPTICS EXPRESS, 2020, 11 (06) : 3043 - 3057
  • [35] Agreement among ophthalmologists in marking the optic disc and optic cup in fundus images
    Ahmed Almazroa
    Sami Alodhayb
    Essameldin Osman
    Eslam Ramadan
    Mohammed Hummadi
    Mohammed Dlaim
    Muhannad Alkatee
    Kaamran Raahemifar
    Vasudevan Lakshminarayanan
    International Ophthalmology, 2017, 37 : 701 - 717
  • [36] Deep level set method for optic disc and cup segmentation on fundus images
    Zheng, Yaoyue
    Zhang, Xuetao
    Xu, Xiayu
    Tian, Zhiqiang
    Du, Shaoyi
    BIOMEDICAL OPTICS EXPRESS, 2021, 12 (11): : 6969 - 6983
  • [37] M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images
    Khan, Maleeha Khalid
    Anwar, Syed Muhammad
    2020 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES 2020): LEADING MODERN HEALTHCARE TECHNOLOGY ENHANCING WELLNESS, 2021, : 472 - 476
  • [38] Probability distribution guided optic disc and cup segmentation from fundus images
    Cheng, Pujin
    Lyu, Junyan
    Huang, Yijin
    Tang, Xiaoying
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 1976 - 1979
  • [39] Joint optic disc and cup boundary extraction from monocular fundus images
    Chakravarty, Arunava
    Sivaswamy, Jayanthi
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 147 : 51 - 61
  • [40] Automated Detection of Optic Disc from Digital Retinal Fundus Images for Screening Systems of Diabetic Retinopathy
    高玮玮
    马晓峰
    左晶
    Journal of Donghua University(English Edition), 2020, 37 (01) : 74 - 79
12345