Blood Vessel Extraction for Diabetic Retinopathy

被引：0

作者：

Yazid, Haniza ^{[1
]}

AlMejrad, Ali ^{[2
]}

Rizon, M. ^{[2
]}

Arof, Hamzah ^{[3
]}

机构：

[1] Univ Malaysia Perlis, Sch Mechatron Engn, Arau 02600, Perlis, Malaysia

[2] King Saud Univ, Coll Appl Med Sci, Dept Biomed Technol, Riyadh 11433, Saudi Arabia

[3] Univ Malaya, Dept Elect Engn, Kuala Lumpur 50603, Malaysia

来源：

PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12) | 2012年

关键词：

blood vessel; diabetic retinopathy; peaks detection and valley detection; RETINAL IMAGES;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Diabetic retinopathy is an eye problem that face by the diabetic's patient. Diabetic Retinopathy (DR) is caused by the changes of the blood vessel in the retina. In the early stage of DR, the blood vessels may swell and leak fluid. However, in the advance stage of DR a new blood vessel that fragile and abnormal may formed and leaks blood to the retina. This can caused vision loss or even blindness. Therefore, this paper proposed to extract the blood vessel based on the peak and valley detection. The proposed methods utilized a green channel image and the inversion image. Next, the resulting images from both methods are combined. Three (3) databases are utilized namely from STructured Analysis of the Retina (STARE), Digital Retina Images for Vessel Extraction (DRIVE) and a database that is acquired from the local hospital.

引用

页码：1191 / 1194

页数：4

共 50 条

[31] The Assessment of Diabetic Retinopathy using Retinal Vessel Segmentation
Laurik, Kornelia Lenke
Varga, Boglarka Eniko
Palya, Fanni
Tatrai, Erika
Nemeth, Janos
Hornegger, Joachim
Budai, Attila
Somfai, Gabor Mark
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2014, 55 (13)
[32] Retinal Vessel Geometry and the Incidence and Progression of Diabetic Retinopathy
Lim, Laurence S.
Chee, Miao Li
Cheung, Carol Y.
Wong, Tien Yin
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2017, 58 (06) : 200 - 205
[33] Association of retinal vessel diameters and diabetic retinopathy in pregnancy
Klein, Barbara E. K.
Lee, Kristine E.
Meuer, Stacy M.
Mosher, Anne
Ewen, Andy
Klein, Ronald
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2018, 59 (09)
[34] Evaluation and comparison of retinal blood vessels extraction using edge detectors in diabetic retinopathy
Sarangi, Sunita
Sabut, Sukant Kumar
Majhi, Diptimayee
INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2016, 9 (03) : 174 - 183
[35] Design and implementation of a unique blood-vessel detection algorithm towards early diagnosis of diabetic retinopathy
Dua, S
Kandiraju, N
Thompson, HW
ITCC 2005: International Conference on Information Technology: Coding and Computing, Vol 1, 2005, : 26 - 31
[36] Blood vessel segmentation in retinal fundus images for proliferative diabetic retinopathy screening using deep learning
P. Saranya
S. Prabakaran
Rahul Kumar
Eshani Das
The Visual Computer, 2022, 38 : 977 - 992
[37] Diabetic retinopathy: A quadtree based blood vessel detection algorithm using RGB components in fundus images
Reza, Ahmed Wasif
Eswaran, C.
Hati, Subhas
JOURNAL OF MEDICAL SYSTEMS, 2008, 32 (02) : 147 - 155
[38] Diabetic Retinopathy: A Quadtree Based Blood Vessel Detection Algorithm Using RGB Components in Fundus Images
Ahmed Wasif Reza
C. Eswaran
Subhas Hati
Journal of Medical Systems, 2008, 32 : 147 - 155
[39] Blood Pressure Control for Diabetic Retinopathy
Anger, William H., Jr.
AMERICAN JOURNAL OF NURSING, 2016, 116 (01) : 56 - 56
[40] An Automatic Detection of Blood Vessel in Retinal Images Using Convolution Neural Network for Diabetic Retinopathy Detection
C. Raja
L. Balaji
Pattern Recognition and Image Analysis, 2019, 29 : 533 - 545

← 1 2 3 4 5 →