Fast Screening Of Microaneurysms In Fundus Images

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题名:	Fast Screening Of Microaneurysms In Fundus Images
作者:	Sean, H.F.Chen
贡献者:	Department of Biomedical informatics Han C.W. Hsiao
关键词:	fundus image;microaneurysms;enhancement;de-noise;correlation;polynomial surface;surface binarization;error ellipse
日期:	2012
上传时间:	2012-11-18 08:11:26 (UTC+0)
出版者:	Asia University
摘要:	Diabetic retinopathy is known to be one of the most frequent and serious eyediseases that typically cause blindness in adults between 20 and 60 years of age.Microaneurysm is one of the most important syndromes in color fundus images.A tool for automatic detection of microaneurysms can significantly reduce theworkload of the ophthalmologists. A multi-stage strategy to screen candidatemicroaneurysms is adopted in this study. The computation time for screening onefundus image of size 1500?1152 is 16.8 seconds. Ten verified microaneurysms aresuccessfully detected, plus 5 putative spots that need to be verified. The resultdemonstrates that the proposed approach is efficient yet effective.
显示于类别:	[生物資訊與醫學工程學系 ] 博碩士論文

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