Brain vasculature segmentation from magnetic resonance angiographic image

Master's

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Bibliographic Details
Main Author: DORNOOSH ZONOOBI
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2011
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/28310
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-283102020-11-18T04:56:59Z Brain vasculature segmentation from magnetic resonance angiographic image DORNOOSH ZONOOBI ELECTRICAL & COMPUTER ENGINEERING ASHRAF ALI BIN MOHAMED KASSIM Vasculature Segmentation, MRA images, Geodesic Active Contours. Master's MASTER OF ENGINEERING 2011-11-08T18:03:56Z 2011-11-08T18:03:56Z 2008-01-31 Thesis DORNOOSH ZONOOBI (2008-01-31). Brain vasculature segmentation from magnetic resonance angiographic image. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/28310 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Vasculature Segmentation, MRA images, Geodesic Active Contours.
spellingShingle Vasculature Segmentation, MRA images, Geodesic Active Contours.
DORNOOSH ZONOOBI
Brain vasculature segmentation from magnetic resonance angiographic image
description Master's
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
DORNOOSH ZONOOBI
format Theses and Dissertations
author DORNOOSH ZONOOBI
author_sort DORNOOSH ZONOOBI
title Brain vasculature segmentation from magnetic resonance angiographic image
title_short Brain vasculature segmentation from magnetic resonance angiographic image
title_full Brain vasculature segmentation from magnetic resonance angiographic image
title_fullStr Brain vasculature segmentation from magnetic resonance angiographic image
title_full_unstemmed Brain vasculature segmentation from magnetic resonance angiographic image
title_sort brain vasculature segmentation from magnetic resonance angiographic image
publishDate 2011
url https://scholarbank.nus.edu.sg/handle/10635/28310
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