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dc.contributor.author
Sharp, Gregory
dc.contributor.author
Fritscher, Karl D.
dc.contributor.author
Pekar, Vladimir
dc.contributor.author
Peroni, Marta
dc.contributor.author
Shusharina, Nadya
dc.contributor.author
Veeraraghavan, Harini
dc.contributor.author
Yang, Jinzhong
dc.date.accessioned
2017-06-11T09:09:50Z
dc.date.available
2017-06-11T09:09:50Z
dc.date.issued
2014-05
dc.identifier.other
10.1118/1.4871620
dc.identifier.uri
http://hdl.handle.net/20.500.11850/84817
dc.language.iso
en
dc.publisher
American Institute of Physics
dc.subject
Segmentation
dc.subject
Radiation therapy
dc.subject
Image processing
dc.title
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
dc.type
Journal Article
ethz.journal.title
Medical Physics
ethz.journal.volume
41
ethz.journal.issue
5
ethz.pages.start
050902-1
ethz.pages.end
050902-13
ethz.size
13 p.
ethz.notes
Received 27 January 2014, Revised 1 April 2014, Accepted for publication 3 April 2014, Published 24 April 2014.
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
000050529
ethz.publication.place
New York
ethz.publication.status
published
ethz.date.deposited
2017-06-11T09:10:26Z
ethz.source
ECIT
ethz.identifier.importid
imp593651f4269b941877
ethz.ecitpid
pub:133769
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T16:25:24Z
ethz.rosetta.lastUpdated
2018-11-02T14:47:26Z
ethz.rosetta.versionExported
true
ethz.COinS
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