Vision 20/20: Perspectives on automated image segmentation for radiotherapy
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
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