Diagnosis of the diabetic retinopathy by the computer-supported analysis of the digital fundus photograph.

被引：0
|
作者：
Seo, JM
Kim, KG
Chung, H
Kim, JH
Park, KS
Kim, YJ
Choi, KS
Yu, HG
Yu, YS
机构：
[1] Seoul Natl Univ, Coll Med, SAEC, Seoul, South Korea
[2] Seoul Natl Univ, Coll Med, Seoul, South Korea
[3] ABRC, Seoul, South Korea
[4] Soonchunhyang Coll Med, Seoul, South Korea
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2004年 / 45卷
关键词：
D O I：
暂无
中图分类号：
R77 [眼科学];
学科分类号：
100212 ;
摘要：
4070
引用
收藏
页码：U362 / U362
页数：1
相关论文
共 50 条
  • [11] Fundus Image Texture Features Analysis in Diabetic Retinopathy Diagnosis
    Sarwinda, Devvi
    Bustamam, Alhadi
    Arymurthy, Aniati M.
    2017 ELEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2017, : 113 - 117
  • [12] Assessing Fundus Photograph Quality and Ability to Identify Diabetic Retinopathy in a Diabetic Telemedicine Study
    Sun, Justin
    Cohen, Devin
    Benjamin, James
    Henderer, Jeffrey
    Barbera, Angela
    Grachevskaya, Julia
    Chen, Lorrie
    Zhang, Yi
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [13] Computer Aided Systems for Diabetic Retinopathy Detection Using Digital Fundus Images: A Survey
    Qureshi, Imran
    Sharif, Muhammad
    Yasmin, Mussarat
    Raza, Mudassar
    Javed, Muhammad Y.
    CURRENT MEDICAL IMAGING, 2016, 12 (04) : 234 - 241
  • [14] A Comparative Cost Analysis of Digital Fundus Imaging and Direct Fundus Examination for Assessment of Diabetic Retinopathy
    Gomez-Ulla, Francisco
    Alonso, Florentina
    Aibar, Beatriz
    Gonzalez, Francisco
    TELEMEDICINE JOURNAL AND E-HEALTH, 2008, 14 (09): : 912 - 918
  • [15] Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
    Rajiv Raman
    Sangeetha Srinivasan
    Sunny Virmani
    Sobha Sivaprasad
    Chetan Rao
    Ramachandran Rajalakshmi
    Eye, 2019, 33 : 97 - 109
  • [16] Correspondence of abnormalities of mfERG components to fundus photograph findings in mild diabetic retinopathy
    Schneck, ME
    Han, Y
    Bearse, MA
    Barez, S
    Graham, A
    Jacobsen, C
    Adams, AJ
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2002, 43 : U978 - U978
  • [17] Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
    Raman, Rajiv
    Srinivasan, Sangeetha
    Virmani, Sunny
    Sivaprasad, Sobha
    Rao, Chetan
    Rajalakshmi, Ramachandran
    EYE, 2019, 33 (01) : 97 - 109
  • [18] Computer-supported diagnosis: Adding knowledge technology
    Rothenfluh, TE
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 1996, 31 (3-4) : 84159 - 84159
  • [19] Evaluation of automated fundus photograph analysis algorithms for detecting microaneurysms, haemorrhages and exudates, and of a computer-assisted diagnostic system for grading diabetic retinopathy
    Dupas, B.
    Walter, T.
    Erginay, A.
    Ordonez, R.
    Deb-Joardar, N.
    Gain, P.
    Klein, J. -C.
    Massin, P.
    DIABETES & METABOLISM, 2010, 36 (03) : 213 - 220
  • [20] Automated detection of diabetic retinopathy on digital fundus images
    Sinthanayothin, C
    Boyce, JF
    Williamson, TH
    Cook, HL
    Mensah, E
    Lal, S
    Usher, D
    DIABETIC MEDICINE, 2002, 19 (02) : 105 - 112
12345