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Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping

Abstract:

Recent developments in artificial intelligence have generated increasing interest to deploy automated image analysis for diagnostic imaging and large-scale clinical applications. However, inaccuracy from automated methods could lead to incorrect conclusions, diagnoses or even harm to patients. Manual inspection for potential inaccuracies is labor-intensive and time-consuming, hampering progress towards fast and accurate clinical reporting in high volumes. To promote reliable fully-automated i...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.media.2021.102029

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0002-9384-4602
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
Expand authors...
British Heart Foundation More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Medical Image Analysis Journal website
Volume:
71
Article number:
102029
Publication date:
2021-03-11
Acceptance date:
2021-03-01
DOI:
EISSN:
1361-8423
ISSN:
1361-8415
Pmid:
33831594
Language:
English
Keywords:
Pubs id:
1170915
Local pid:
pubs:1170915
Deposit date:
2021-09-27

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