English  |  正體中文  |  简体中文  |  Items with full text/Total items : 27287/39131
Visitors : 2443961      Online Users : 41
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/32850

Title: An atomatic fundus image analysis system for clinical diagnosis of glaucoma
Authors: Chih-Yin Ho;Tun-Wen Pai*;Hao-Teng Chang;Hsin-Yi Chen
Contributors: NTOU:Department of Computer Science and Engineering
國立臺灣海洋大學:資訊工程學系
Keywords: fundus retinal image;glaucoma;vessel inpainting;vessel detection;cup to disc ratio;ISNT rule
Date: 2011-07
Issue Date: 2012-06-18T07:01:20Z
Publisher: Proceeding of 2011 IEEE International Conference on Complex, Intelligent and Software Intensive Sys
Abstract: Abstract:Glaucoma is a serious ocular disease and leads blindness if it couldn’t be detected and treated in proper way. The diagnostic criteria for glaucoma include intraocular pressure measurement, optic nerve head evaluation, retinal nerve fiber layer and visual field defect. The observation of optic nerve head, cup to disc ratio and neural rim configuration are important for early detecting glaucoma in clinical practice. However, the broad range of cup to disc ratio is difficult to identify early changes of optic nerve head, and different ethnic groups possess various features in optic nerve head structures. Hence, it is still important to develop various detection techniques to assist clinicians to diagnose glaucoma at early stages. In this study, we developed an automatic detection system which contains two major phases: the first phase performs a series modules of digital fundus retinal image analysis including vessel detection, vessel inpainting, cup to disc ratio calculation, and neuro-retinal rim for ISNT rule; the second phase determines the abnormal status of retinal blood vessels from different aspect of view. In this study, the novel idea of integrating image inpainting and active contour model techniques successfully assisted the correct identification of cup and disk regions. Several clinical fundus retinal images containing normal and glaucoma images were applied to the proposed system for demonstration.
Relation: pp.559-564
URI: http://ntour.ntou.edu.tw/handle/987654321/32850
Appears in Collections:[資訊工程學系] 演講及研討會

Files in This Item:

File Description SizeFormat
index.html0KbHTML250View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback