The computer based method to diabetic retinopathy assessment in retinal images: a review

被引:4
作者
Mohammadi, Farid [1 ]
Esmaeili, Mehrdad [1 ]
Javadzadeh, Alireza [2 ]
Tabar, Hamid Aryaei [3 ]
Rasta, Seyed Hossein [1 ,4 ]
机构
[1] Tabriz Univ Med Sci, Sch Adv Med Sci, Dept Med Bioengn, Tabriz 57666, Iran
[2] Tabriz Univ Med Sci, Nikookari Eye Hosp, Dept Ophthalmol, Tabriz, Iran
[3] Univ Kermanshah, Fac Med, Dept Ophthalmol, Kermanshah, Iran
[4] Univ Aberdeen, Sch Biomed Sci, Aberdeen AB25 2ZD, Scotland
来源
ELECTRONIC JOURNAL OF GENERAL MEDICINE | 2019年 / 16卷 / 02期
关键词
retinal pathology; early detection; computerized method; dark and bright spots; OPTIC DISC; AUTOMATIC DETECTION; EXUDATE DETECTION; BLOOD-VESSELS; FUNDUS IMAGES; SEGMENTATION; NEOVASCULARIZATION; IDENTIFICATION; EXTRACTION; MICROANEURYSMS;
D O I
10.29333/ejgm/108619
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Diabetic retinopathy accounts for a considerable amount of the blindness especially among the patients who are between 20 to 60 years. The early detection of this disease plays an important role in preventing vision damages and appropriate follow-up care of diabetic eye. Manual investigation of color fundus images to check morphological changes in dark and bright lesions is tedious work and very time-consuming that can be made easily with the help of computer-aided diagnosis system. Many techniques were proposed for early detection of the abnormalities in the retinal images help the ophthalmologists recognize the retinopathy earlier. This paper presents a review of various automated algorithms that have been used for the detection of diabetic retinopathy.
引用
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页数:13
相关论文
共 68 条
[1]   Automated identification of normal and diabetes heart rate signals using nonlinear measures [J].
Acharya, U. Rajendra ;
Faust, Oliver ;
Kadri, Nahrizul Adib ;
Suri, Jasjit S. ;
Yu, Wenwei .
COMPUTERS IN BIOLOGY AND MEDICINE, 2013, 43 (10) :1523-1529
[2]  
Akram M. U., 2012, IEEE EMBS INT C BIOM
[3]   Automated detection of exudates and macula for grading of diabetic macular edema [J].
Akram, M. Usman ;
Tariq, Anam ;
Khan, Shoab A. ;
JavedDepartment, M. Younus .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2014, 114 (02) :141-152
[4]   Detection of neovascularization in retinal images using multivariate m-Mediods based classifier [J].
Akram, M. Usman ;
Khalid, Shehzad ;
Tariq, Anam ;
Javed, M. Younus .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2013, 37 (5-6) :346-357
[5]   Assessing the importance of features for detection of hard exudates in retinal images [J].
Akyol, Kemal ;
Sen, Baha ;
Bayir, Safak ;
Cakmak, Hasan Basri .
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (02) :1223-1237
[6]   Diabetic retinopathy - An update [J].
Alghadyan, Abdulrahman A. .
SAUDI JOURNAL OF OPHTHALMOLOGY, 2011, 25 (02) :99-111
[7]  
Amiri SA, 2008, J ADV COMPUT RES, V3, P1
[8]  
[Anonymous], 2012, Telkomnika, DOI [DOI 10.12928/TELKOMNIKA.V10I3.833, 10.12928/telkomnika.v10i3.833]
[9]  
[Anonymous], 2002, International Clinical Diabetic Retinopathy Disease Severity Scale - Detailed Table
[10]  
Bharali P, 2015, REC TRENDS INF SYST, DOI [10.1109/ReTIS.2015.7232884, DOI 10.1109/RETIS.2015.7232884]