Glaucoma Diagnosis Using State of Art Image Analysis Techniques: A Comprehensive Survey

被引：0
|
作者：
Krishna, Nanditha [1 ]
Nagamani, K. [1 ]
机构：
[1] RVCE, Dept Telecommun Engn, Bangalore, Karnataka, India
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020) | 2020年
关键词：
Glaucoma; Fundus; Optical coherence Tomography; Image Processing; OPTIC DISC BOUNDARY; PREVALENCE; SEGMENTATION; EXTRACTION; PEOPLE;
D O I：
10.1109/icict48043.2020.9112529
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Glaucoma is a censorious and blindness causing eye disease. Rising of intraocular pressure within the eye is the main aetiology. Glaucoma detection is one of the crucial tasks for ophthalmologists. In recent years, the development of digital imaging and computer vision influenced medical diagnostic systems. Application of image processing techniques in ophthalmology plays a significant role in the diagnosis of retinal diseases like retinopathy of prematurity, diabetic retinopathy, glaucoma and age-based macular degeneration. This survey covers a comprehensive discussion on different image processing techniques and processing algorithms used for detection of glaucoma. This paper presents two types of imaging modalities for Computer-aided diagnosis (CAD) they are, i) Fundus imaging-based approach and ii) Optical Coherence Tomography (OCT) imaging-based approach
引用
收藏
页码：247 / 251
页数：5
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