Algorithms for Diagnosis of Diabetic Retinopathy and Diabetic Macula Edema- A Review
Human eye is one of the important organs in human body, with iris, pupil, sclera, cornea, lens, retina and optic nerve. Many important eye diseases as well as systemic diseases manifest themselves in the retina. The most widespread causes of blindness in
- PDF / 1,301,230 Bytes
- 17 Pages / 504.567 x 720 pts Page_size
- 89 Downloads / 173 Views
Algorithms for Diagnosis of Diabetic Retinopathy and Diabetic Macula EdemaA Review Karkuzhali Suriyasekeran, Senthilkumar Santhanamahalingam, and Manimegalai Duraisamy Abstract
Human eye is one of the important organs in human body, with iris, pupil, sclera, cornea, lens, retina and optic nerve. Many important eye diseases as well as systemic diseases manifest themselves in the retina. The most widespread causes of blindness in the industrialized world are glaucoma, Age Related Macular Degeneration (ARMD), Diabetic Retinopathy (DR) and Diabetic Macula Edema (DME). The development of a retinal image analysis system is a demanding research topic for early detection, progression analysis and diagnosis of eye diseases. Early diagnosis and treatment of retinal diseases are essential to prevent
K. Suriyasekeran (*) Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Sriviliputtur, Tamilnadu, India e-mail: [email protected] S. Santhanamahalingam Department of Chemistry, Ayya Nadar Janaki Ammal College, Sivakasi, Tamilnadu, India e-mail: [email protected] M. Duraisamy Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India e-mail: [email protected]
vision loss. The huge and growing number of retinal disease affected patients, cost of current hospital-based detection methods (by eye care specialists) and scarcity in the number of ophthalmologists are the barriers to achieve the recommended screening compliance in the patient who is at the risk of retinal diseases. Developing an automated system which uses pattern recognition, computer vision and machine learning to diagnose retinal diseases is a potential solution to this problem. Damage to the tiny blood vessels in the retina in the posterior part of the eye due to diabetes is named as DR. Diabetes is a disease which occurs when the pancreas does not secrete enough insulin or the body does not utilize it properly. This disease slowly affects the circulatory system including that of the retina. As diabetes intensifies, the vision of a patient may start deteriorating and leading to DR. The retinal landmarks like OD and blood vessels, white lesions and red lesions are segmented to develop automated screening system for DR. DME is an advanced symptom of DR that can lead to irreversible vision loss. DME is a general term defined as retinal thickening or exudates present within 2 disk diameter of the fovea center; it can either focal or diffuse DME in distribution. In this paper, review the algorithms used in diagnosis of DR and DME.
K. Suriyasekeran et al.
Keywords
Diabetic edema · Macula · Blood vessels · Classification · Diabetic retinopathy · Exudates · Hemorrhages · Macula · Microanaurysms · Optic disc · Segmentation
1
Introduction
The human eye is a sensory organ for vision. It is well designed to collect the significant information about th
Data Loading...
