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Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description
dc.contributor.authorEl Naqa, Issam
dc.contributor.authorIrrer, Jim
dc.contributor.authorRitter, Tim A.
dc.contributor.authorDeMarco, John
dc.contributor.authorAl‐hallaq, Hania
dc.contributor.authorBooth, Jeremy
dc.contributor.authorKim, Grace
dc.contributor.authorAlkhatib, Ahmad
dc.contributor.authorPopple, Richard
dc.contributor.authorPerez, Mario
dc.contributor.authorFarrey, Karl
dc.contributor.authorMoran, Jean M.
dc.date.accessioned2019-05-31T18:27:29Z
dc.date.available2020-06-01T14:50:01Zen
dc.date.issued2019-04
dc.identifier.citationEl Naqa, Issam; Irrer, Jim; Ritter, Tim A.; DeMarco, John; Al‐hallaq, Hania ; Booth, Jeremy; Kim, Grace; Alkhatib, Ahmad; Popple, Richard; Perez, Mario; Farrey, Karl; Moran, Jean M. (2019). " Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description." Medical Physics 46(4): 1914-1921.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/149320
dc.publisherWiley Periodicals, Inc.
dc.publisherThe New York Times
dc.subject.otherLinacs
dc.subject.otherquality assurance
dc.subject.otherSVM
dc.subject.otherhigher dimension visualization
dc.subject.othermachine learning
dc.titleMachine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149320/1/mp13433_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149320/2/mp13433.pdf
dc.identifier.doi10.1002/mp.13433
dc.identifier.sourceMedical Physics
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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