.png){kind=icon}
返回
Glaucoma detection using image processing techniques: A literature review
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compmedimag.2019.101657.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The term glaucoma refers to a group of heterogeneous diseases that cause the degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main issues: (i) structural changes to the optic nerve head as well as the nerve fiber layer, and (ii) simultaneous functional failure of the visual field. These two effects of glaucoma may lead to peripheral vision loss and, if the condition is left to progress it may eventually lead to blindness. No cure for glaucoma exists apart from early detection and treatment by optometrists and ophthalmologists. The degeneration of RGCs is normally detected from retinal images which are assessed by an expert. These retinal images also provide other vital information about the health of an eye. Thus, it is essential to develop automated techniques for extracting this information. The rapid development of digital images and computer vision techniques have increased the potential for analysis of eye health from images. This paper surveys current approaches to detect glaucoma from 2D and 3D images; both the limitations and possible future directions are highlighted. This study also describes the datasets used for retinal analysis along with existing evaluation algorithms. The main topics covered by this study may be enumerated as follows: approaches to segment different objects from both 2D and 3D images; approaches that may lead to encouraging results for glaucoma detection; challenges faced by researchers; and currently available retinal datasets and evaluation methods. (C) 2019 Elsevier Ltd. All rights reserved.
Keyword:
Glaucoma
Image analysis
Review
Blindness
Retinal analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
2.4K
被引数:
5.0K
机构
引用论文
Application of Improved Kalman Filter in Under-Ground Positioning System of Coal Mine煤矿井下定位系统中改进卡尔曼滤波器的应用
PREAI
分享收藏Glaucoma risk index: Automated glaucoma detection from color fundus images.png)
MEDICAL IMAGE ANALYSIS
OAAI
MEDICAL IMAGE ANALYSISIF11.8
OAAI分享收藏
Retinal vessel segmentation in colour fundus images using Extreme Learning Machine基于极限学习机的彩色眼底图像视网膜血管分割
PREAI
分享收藏
查看更多内容