A model-based approach for automated feature extraction in fundus images

Proceedings of the IEEE International Conference on Computer Vision

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Bibliographic Details
Main Authors: Li, H., Chutatape, O.
Other Authors: COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2013
Online Access:http://scholarbank.nus.edu.sg/handle/10635/41439
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Institution: National University of Singapore
id sg-nus-scholar.10635-41439
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spelling sg-nus-scholar.10635-414392015-02-13T16:21:47Z A model-based approach for automated feature extraction in fundus images Li, H. Chutatape, O. COMPUTER SCIENCE Proceedings of the IEEE International Conference on Computer Vision 1 394-399 PICVE 2013-07-04T08:27:34Z 2013-07-04T08:27:34Z 2003 Conference Paper Li, H.,Chutatape, O. (2003). A model-based approach for automated feature extraction in fundus images. Proceedings of the IEEE International Conference on Computer Vision 1 : 394-399. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/41439 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description Proceedings of the IEEE International Conference on Computer Vision
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Li, H.
Chutatape, O.
format Conference or Workshop Item
author Li, H.
Chutatape, O.
spellingShingle Li, H.
Chutatape, O.
A model-based approach for automated feature extraction in fundus images
author_sort Li, H.
title A model-based approach for automated feature extraction in fundus images
title_short A model-based approach for automated feature extraction in fundus images
title_full A model-based approach for automated feature extraction in fundus images
title_fullStr A model-based approach for automated feature extraction in fundus images
title_full_unstemmed A model-based approach for automated feature extraction in fundus images
title_sort model-based approach for automated feature extraction in fundus images
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/41439
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