New approaches to automated annotation of pathology-level findings in medical images

Ph.D

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Bibliographic Details
Main Author: DINH THIEN ANH
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/51987
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-51987
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spelling sg-nus-scholar.10635-519872015-02-23T02:13:06Z New approaches to automated annotation of pathology-level findings in medical images DINH THIEN ANH COMPUTER SCIENCE LEONG TZE YUN medical image classification; machine learning; medical informatics; image annotation Ph.D DOCTOR OF PHILOSOPHY 2014-04-30T18:01:50Z 2014-04-30T18:01:50Z 2013-07-03 Thesis DINH THIEN ANH (2013-07-03). New approaches to automated annotation of pathology-level findings in medical images. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/51987 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic medical image classification; machine learning; medical informatics; image annotation
spellingShingle medical image classification; machine learning; medical informatics; image annotation
DINH THIEN ANH
New approaches to automated annotation of pathology-level findings in medical images
description Ph.D
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
DINH THIEN ANH
format Theses and Dissertations
author DINH THIEN ANH
author_sort DINH THIEN ANH
title New approaches to automated annotation of pathology-level findings in medical images
title_short New approaches to automated annotation of pathology-level findings in medical images
title_full New approaches to automated annotation of pathology-level findings in medical images
title_fullStr New approaches to automated annotation of pathology-level findings in medical images
title_full_unstemmed New approaches to automated annotation of pathology-level findings in medical images
title_sort new approaches to automated annotation of pathology-level findings in medical images
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/51987
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