Computer-aided diagnosis of diabetic retinopathy: A review

被引：295

作者：

Mookiah, Muthu Rama Krishnan ^{[1
]}

Acharya, U. Rajendra ^{[1
,2
]}

Chua, Chua Kuang ^{[1
]}

Lim, Choo Min ^{[1
]}

Ng, E. Y. K. ^{[3
]}

Laude, Augustinus ^{[4
]}

机构：

[1] Ngee Ann Polytech, Dept Elect & Comp Engn, Singapore 599489, Singapore

[2] Univ Malaya, Fac Engn, Dept Biomed Engn, Kuala Lumpur 50603, Malaysia

[3] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore

[4] Tan Tock Seng Hosp, Natl Healthcare Grp Eye Inst, Singapore 308433, Singapore

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2013年 / 43卷 / 12期

关键词：

Retina; Retinopathy; Fundus imaging; Computer-aided diagnosis; Pattern classification; Image processing; OPTICAL COHERENCE TOMOGRAPHY; BLOOD-VESSEL SEGMENTATION; COLOR FUNDUS PHOTOGRAPHS; DECISION-SUPPORT-SYSTEM; RETINAL IMAGE-ANALYSIS; COTTON-WOOL SPOTS; AUTOMATED DETECTION; MACULAR EDEMA; MATCHED-FILTER; MATHEMATICAL MORPHOLOGY;

D O I：

10.1016/j.compbiomed.2013.10.007

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：2136 / 2155

页数：20

共 169 条

[1]

Abdel-Ghafar RA, 2007, MED INFORM INTERNET, V32, P19, DOI 10.1080/14639230601095865

[2] Web-based screening for diabetic retinopathy in a primary care population: The EyeCheck project [J].

Abramoff, MD ;

Suttorp-Schulten, MSA .

TELEMEDICINE JOURNAL AND E-HEALTH, 2005, 11 (06) :668-674

[3]

Abramoff Michael D, 2010, IEEE Rev Biomed Eng, V3, P169, DOI 10.1109/RBME.2010.2084567

[4] Automated Early Detection of Diabetic Retinopathy [J].

Abramoff, Michael D. ;

Reinhardt, Joseph M. ;

Russell, Stephen R. ;

Folk, James C. ;

Mahajan, Vinit B. ;

Niemeijer, Meindert ;

Quellec, Gwenole .

OPHTHALMOLOGY, 2010, 117 (06) :1147-1154

[5] Evaluation of a System for Automatic Detection of Diabetic Retinopathy From Color Fundus Photographs in a Large Population of Patients With Diabetes [J].

Abramoff, Michael D. ;

Niemeijer, Meindert ;

Suttorp-Schulten, Maria S. A. ;

Viergever, Max A. ;

Russell, Stephen R. ;

van Ginneken, Bram .

DIABETES CARE, 2008, 31 (02) :193-198

[6]

Acharya R, 2008, ARTECH HSE BIOINF BI, P1

[7] Computer-based detection of diabetes retinopathy stages using digital fundus images [J].

Acharya, U. R. ;

Lim, C. M. ;

Ng, E. Y. K. ;

Chee, C. ;

Tamura, T. .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2009, 223 (H5) :545-553

[8] 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

[9] An integrated diabetic index using heart rate variability signal features for diagnosis of diabetes [J].

Acharya, U. Rajendra ;

Faust, Oliver ;

Sree, S. Vinitha ;

Ghista, Dhanjoo N. ;

Dua, Sumeet ;

Joseph, Paul ;

Ahamed, V. I. Thajudin ;

Janarthanan, Nittiagandhi ;

Tamura, Toshiyo .

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2013, 16 (02) :222-234

[10] An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters [J].

Acharya, U. Rajendra ;

Ng, E. Y. K. ;

Tan, Jen-Hong ;

Sree, S. Vinitha ;

Ng, Kwan-Hoong .

JOURNAL OF MEDICAL SYSTEMS, 2012, 36 (03) :2011-2020

← 1 2 3 4 5 6 7 8 9 10 →