AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES
Ph.D
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Format: | Theses and Dissertations |
Language: | English |
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2018
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/142754 |
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sg-nus-scholar.10635-1427542020-11-18T04:18:38Z AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES CHEN BICHAO NUS GRAD SCH FOR INTEGRATIVE SCI & ENGG ONG SIM HENG SUN YING Vessel segmentation, centerline extraction, vessel enhancement, edge tangent flow, graph cuts, convolutional neural network Ph.D DOCTOR OF PHILOSOPHY 2018-06-01T18:00:35Z 2018-06-01T18:00:35Z 2017-08-25 Thesis CHEN BICHAO (2017-08-25). AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/142754 en |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
Vessel segmentation, centerline extraction, vessel enhancement, edge tangent flow, graph cuts, convolutional neural network |
spellingShingle |
Vessel segmentation, centerline extraction, vessel enhancement, edge tangent flow, graph cuts, convolutional neural network CHEN BICHAO AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES |
description |
Ph.D |
author2 |
NUS GRAD SCH FOR INTEGRATIVE SCI & ENGG |
author_facet |
NUS GRAD SCH FOR INTEGRATIVE SCI & ENGG CHEN BICHAO |
format |
Theses and Dissertations |
author |
CHEN BICHAO |
author_sort |
CHEN BICHAO |
title |
AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES |
title_short |
AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES |
title_full |
AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES |
title_fullStr |
AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES |
title_full_unstemmed |
AUTOMATIC DETECTION OF SMALL VESSELS IN MEDICAL IMAGES |
title_sort |
automatic detection of small vessels in medical images |
publishDate |
2018 |
url |
https://scholarbank.nus.edu.sg/handle/10635/142754 |
_version_ |
1686108029009788928 |