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Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification

dc.contributor.authorPetrick, Nicholas
dc.contributor.authorChan, Heang‐ping
dc.contributor.authorWei, Datong
dc.contributor.authorSahiner, Berkman
dc.contributor.authorHelvie, Mark A.
dc.contributor.authorAdler, Dorit D.
dc.date.accessioned2017-01-06T20:46:49Z
dc.date.available2017-01-06T20:46:49Z
dc.date.issued1996-10
dc.identifier.citationPetrick, Nicholas; Chan, Heang‐ping ; Wei, Datong; Sahiner, Berkman; Helvie, Mark A.; Adler, Dorit D. (1996). "Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification." Medical Physics 23(10): 1685-1696.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/134857
dc.publisherWiley Periodicals, Inc.
dc.publisherAmerican Association of Physicists in Medicine
dc.subject.otherMedical imaging
dc.subject.otherLaser Doppler velocimetry
dc.subject.otherWavelets
dc.subject.otherPhysicists
dc.subject.otherMammography
dc.subject.otherRadiography
dc.subject.otherRadiation therapy equipment
dc.subject.otherXâ RAY RADIOGRAPHY
dc.subject.otherALGORITHMS
dc.subject.otherMAMMARY GLANDS
dc.subject.otherMEDICINE
dc.subject.otherDIAGNOSTIC TECHNIQUES
dc.subject.otherNEOPLASMS
dc.subject.otherAUTOMATION
dc.subject.otherDETECTION
dc.subject.other87.56.04
dc.titleAutomated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.contributor.affiliationumThe University of Michigan, Department of Radiology, UH B1D403, 1500 E. Medical Center Drive, Ann Arbor, Michigan 48109â 0030
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/134857/1/mp7756.pdf
dc.identifier.doi10.1118/1.597756
dc.identifier.sourceMedical Physics
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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