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Joint twoâ view information for computerized detection of microcalcifications on mammograms
dc.contributor.authorSahiner, Berkman
dc.contributor.authorChan, Heang‐ping
dc.contributor.authorHadjiiski, Lubomir M.
dc.contributor.authorHelvie, Mark A.
dc.contributor.authorParamagul, Chinatana
dc.contributor.authorGe, Jun
dc.contributor.authorWei, Jun
dc.contributor.authorZhou, Chuan
dc.date.accessioned2017-01-06T20:50:44Z
dc.date.available2017-01-06T20:50:44Z
dc.date.issued2006-07
dc.identifier.citationSahiner, Berkman; Chan, Heang‐ping ; Hadjiiski, Lubomir M.; Helvie, Mark A.; Paramagul, Chinatana; Ge, Jun; Wei, Jun; Zhou, Chuan (2006). "Joint twoâ view information for computerized detection of microcalcifications on mammograms." Medical Physics 33(7): 2574-2585.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/135092
dc.publisherWiley Periodicals, Inc.
dc.publisherAmerican Association of Physicists in Medicine
dc.subject.otherCluster analysis
dc.subject.othertumours
dc.subject.othercancer
dc.subject.otherimage classification
dc.subject.othermedical image processing
dc.subject.othermammography
dc.subject.otherDiseases
dc.subject.otherImage analysis
dc.subject.otherMammography
dc.subject.otherCancer
dc.subject.otherLaser Doppler velocimetry
dc.subject.otherDatabases
dc.subject.otherData sets
dc.subject.otherArtificial neural networks
dc.subject.otherMedical imaging
dc.subject.otherRadiologists
dc.subject.otherData fusion
dc.subject.otherMammography
dc.subject.othersegmentation
dc.subject.othermicrocalcification clusters
dc.subject.othercomputerâ aided diagnosis
dc.subject.otherimage segmentation
dc.titleJoint twoâ view information for computerized detection of microcalcifications on mammograms
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109â 0904
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/135092/1/mp8919.pdf
dc.identifier.doi10.1118/1.2208919
dc.identifier.sourceMedical Physics
dc.identifier.citedreferenceE. Thurfjell, A. Taube, and L. Tabar, â Oneâ view versus 2â view mammography screeningâ A prospective populationâ based study,â Acta Radiol. ACRAE3 --> 0284‐1851 --> 35, 340 â 344 ( 1994 ).
dc.identifier.citedreferenceS. Paquerault, N. Petrick, H. P. Chan, B. Sahiner, and A. Y. Dolney, â Improvement of mammographic lesion detection by fusion of information from different views,â Proc. SPIE PSISDG --> 0277‐786X --> 4322, 1883 â 1889 ( 2001 ).
dc.identifier.citedreferenceB. Sahiner, M. N. Gurcan, H. P. Chan, L. M. Hadjiiski, N. Petrick, and M. A. Helvie, â The use of joint twoâ view information for computerized lesion detection on mammograms: Improvement of microcalcification detection accuracy,â Med. Phys. MPHYA6 --> 0094‐2405 --> 4684, 754 â 761 ( 2002 ).
dc.identifier.citedreferenceS. Paquerault, N. Petrick, H. P. Chan, B. Sahiner, and M. A. Helvie, â Improvement of computerized mass detection on mammograms: Fusion of twoâ view information,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.1446098 29, 238 â 247 ( 2002 ).
dc.identifier.citedreferenceR. Warren, S. Duffy, and S. Bashir, â The value of the second view in screening mammography,â Br. J. Radiol. BJRAAP --> 0007‐1285 --> 69, 105 â 108 ( 1996 ).
dc.identifier.citedreferenceC. Zhou, H. P. Chan, C. Paramagul, M. A. Roubidoux, B. Sahiner, L. M. Hadjiiski, and N. Petrick, â Computerized nipple identification for multiple image analysis in computerâ aided diagnosis,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.1800713 31, 2871 â 2882 ( 2004 ).
dc.identifier.citedreferenceD. P. Chakraborty and K. S. Berbaum, â Observer studies involving detection and localization: Modeling, analysis, and validation,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.1769352 31, 2313 â 2330 ( 2004 ).
dc.identifier.citedreferenceJ. A. Swets, â ROC analysis applied to the evaluation of medical imaging techniques,â Invest. Radiol. INVRAV --> 0020‐9996 --> 14, 109 â 121 ( 1979 ).
dc.identifier.citedreferenceP. A. Lachenbruch, Discriminant Analysis ( Hafner, New York, 1975 ).
dc.identifier.citedreferenceN. R. Draper, Applied Regression Analysis ( Wiley, New York, 1998 ).
dc.identifier.citedreferenceM. N. Gurcan, B. Sahiner, H. P. Chan, L. M. Hadjiiski, and N. Petrick, â Selection of an optimal neural network architecture for computerâ aided detection of microcalcificationsâ Comparison of automated optimization techniques,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.1395036 28, 1937 â 1948 ( 2001 ).
dc.identifier.citedreferenceB. Sahiner, H. P. Chan, N. Petrick, D. Wei, M. A. Helvie, D. D. Adler, and M. M. Goodsitt, â Classification of mass and normal breast tissue: A convolution neural network classifier with spatial domain and texture images,â IEEE Trans. Med. Imaging ITMID4 --> 0278‐0062 --> 10.1109/42.538937 15, 598 â 610 ( 1996 ).
dc.identifier.citedreferenceS. C. Lo, S. L. Lou, J. S. Lin, M. T. Freedman, and S. K. Mun, â Artificial convolution neural network techniques and applications to lung nodule detection,â IEEE Trans. Med. Imaging ITMID4 --> 0278‐0062 --> 10.1109/42.476112 14, 711 â 718 ( 1995 ).
dc.identifier.citedreferenceK. Fukushima, S. Miyake, and T. Ito, â Neocognitron: A neural network model for a mechanism of visual pattern recognition,â IEEE Trans. Syst. Man Cybern. ISYMAW --> 0018‐9472 --> SMCâ 13, 826 â 834 ( 1983 ).
dc.identifier.citedreferenceD. Wei, H. P. Chan, N. Petrick, B. Sahiner, M. A. Helvie, D. D. Adler, and M. M. Goodsitt, â Falseâ positive reduction technique for detection of masses on digital mammograms: Global and local multiresolution texture analysis,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.598011 24, 903 â 914 ( 1997 ).
dc.identifier.citedreferenceH. P. Chan, B. Sahiner, N. Petrick, M. A. Helvie, K. L. Leung, D. D. Adler, and M. M. Goodsitt, â Computerized classification of malignant and benign microcalcifications on mammograms: Texture analysis using an artificial neural network,â Phys. Med. Biol. PHMBA7 --> 0031‐9155 --> 10.1088/0031â 9155/42/3/008 42, 549 â 567 ( 1997 ).
dc.identifier.citedreferenceR. M. Haralick, K. Shanmugam, and I. Dinstein, â Texture features for image classification,â IEEE Trans. Syst. Man Cybern. ISYMAW --> 0018‐9472 --> SMCâ 3, 610 â 621 ( 1973 ).
dc.identifier.citedreferenceH. P. Chan, B. Sahiner, K. L. Lam, N. Petrick, M. A. Helvie, M. M. Goodsitt, and D. D. Adler, â Computerized analysis of mammographic microcalcifications in morphological and texture feature space,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.598389 25, 2007 â 2019 ( 1998 ).
dc.identifier.citedreferenceH. P. Chan, S. C. B. Lo, B. Sahiner, K. L. Lam, and M. A. Helvie, â Computerâ aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural network,â Med. Phys. MPHYA6 --> 0094‐2405 --> 10.1118/1.597428 22, 1555 â 1567 ( 1995 ).
dc.identifier.citedreferenceH. P. Chan, K. Doi, C. J. Vyborny, R. A. Schmidt, C. E. Metz, K. L. Lam, T. Ogura, Y. Wu, and H. MacMahon, â Improvement in radiologists, detection of clustered microcalcifications on mammograms. The potential of computerâ aided diagnosis,â Invest. Radiol. INVRAV --> 0020‐9996 --> 25, 1102 â 1110 ( 1990 ).
dc.identifier.citedreferenceM. Heath, K. Bowyer, D. Kopans, P. Kegelmeyer, R. Moore, K. Chang, and S. Munishkumaran, in Digital Mammography, edited by N. Karssemeijer, M. Thijssen, J. Hendriks, and L. van Erning ( Kluwer Academic, Dordrecht, 1998 ), pp. 457 â 460.
dc.identifier.citedreferenceY. H. Chang, W. F. Good, J. H. Sumkin, B. Zheng, and D. Gur, â Computerized localization of breast lesions from two viewsâ An experimental comparison of two methods,â Invest. Radiol. INVRAV --> 0020‐9996 --> 10.1097/00004424â 199909000â 00006 34, 585 â 588 ( 1999 ).
dc.identifier.citedreferenceY. Kita, R. P. Highnam, and J. M. Brady, â Correspondence between different view breast X rays using curved epipolar lines,â Comput. Vis. Image Underst. CVIUF4 --> 1077‐3142 --> 10.1006/cviu.2001.0908 83, 38 â 56 ( 2001 ).
dc.identifier.citedreferenceM. Yam, M. Brady, R. Highnam, C. Behrenbruch, R. English, and Y. Kita, â Threeâ dimensional reconstruction of microcalcification clusters from two mammographic views,â IEEE Trans. Med. Imaging ITMID4 --> 0278‐0062 --> 20, 479 â 489 ( 2001 ).
dc.identifier.citedreferenceS. Paquerault, B. Sahiner, N. Petrick, L. M. Hadjiiski, M. N. Gurcan, C. Zhou, and M. A. Helvie, in Prediction of Object Location in Different Views Using Geometrical Models, Toronto, Canada, 2001 ( Medical Physics, Madison, WI, 2001 ), pp. 748 â 755.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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