Lesion detection and classification in colour fundus images

Medical image analysis is a challenging task that attracts intensive research interest in recent years. Color fundus image analysis is one of the most efficient means of detecting diabetic retinopathy which is characterized with lesions such as exudates, cotton wool spots, and hemorrhages. The main...

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Main Author:	Zhang, Xiaohui
Other Authors:	Song, Qing
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:	http://hdl.handle.net/10356/4005
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4005
record_format	dspace
spelling	sg-ntu-dr.10356-40052023-07-04T15:56:42Z Lesion detection and classification in colour fundus images Zhang, Xiaohui Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Medical image analysis is a challenging task that attracts intensive research interest in recent years. Color fundus image analysis is one of the most efficient means of detecting diabetic retinopathy which is characterized with lesions such as exudates, cotton wool spots, and hemorrhages. The main difficulties in lesion detection are noises, inhomogeneous illumination and interference of surrounding objects. Doctor of Philosophy (EEE) 2008-09-17T09:42:16Z 2008-09-17T09:42:16Z 2006 2006 Thesis Zhang, X. (2006). Lesion detection and classification in colour fundus images. Doctoral thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/4005 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Zhang, Xiaohui Lesion detection and classification in colour fundus images
description	Medical image analysis is a challenging task that attracts intensive research interest in recent years. Color fundus image analysis is one of the most efficient means of detecting diabetic retinopathy which is characterized with lesions such as exudates, cotton wool spots, and hemorrhages. The main difficulties in lesion detection are noises, inhomogeneous illumination and interference of surrounding objects.
author2	Song, Qing
author_facet	Song, Qing Zhang, Xiaohui
format	Theses and Dissertations
author	Zhang, Xiaohui
author_sort	Zhang, Xiaohui
title	Lesion detection and classification in colour fundus images
title_short	Lesion detection and classification in colour fundus images
title_full	Lesion detection and classification in colour fundus images
title_fullStr	Lesion detection and classification in colour fundus images
title_full_unstemmed	Lesion detection and classification in colour fundus images
title_sort	lesion detection and classification in colour fundus images
publishDate	2008
url	http://hdl.handle.net/10356/4005
_version_	1772827966825299968

Lesion detection and classification in colour fundus images

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