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Sisney, \u201cSolid breast nodules: Use of sonography to distinguish between malignant and benign lesions,\u201d Radiology, vol.196, no.1, pp.123-134, 1995.","DOI":"10.1148\/radiology.196.1.7784555"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] K.J.W. Taylor, C. Merritt, C. Piccoli, R. Schmidt, G. Rouse, B. Fornage, E. Rubin, D. Georgian-Smith, F. Winsberg, B. Goldberg, and E. Mendelson, \u201cUltrasound as a complement to mammography and breast examination to characterize breast masses,\u201d Ultrasound in Medicine and Biology, vol.28, no.1, pp.19-26, 2002.","DOI":"10.1016\/S0301-5629(01)00491-4"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] K. Horsch, M.L. Giger, C.J. Vyborny, L. Lan, E.B. Mendelson, and R.E. Hendrick, \u201cClassification of breast lesions with multimodality computer-aided diagnosis: Observer study results on an independent clinical data set,\u201d Radiology, vol.240, no.2, pp.357-368, 2006.","DOI":"10.1148\/radiol.2401050208"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] B. Sahiner, H.-P. Chan, M.A. Roubidoux, L.M. Hadjiiski, M.A. Helvie, C. Paramagul, J. Bailey, A.V. Nees, and C. Blane, \u201cComputer-Aided Diagnosis of Malignant and Benign Breast Masses in 3D Ultrasound Volumes: Effect on Radiologists&apos; Accuracy,\u201d Radiology, vol.242, no.3, pp.716-724, 2007.","DOI":"10.1148\/radiol.2423051464"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] K.E. Applegate and D.V.B. Neuhauser, \u201cWhose Aunt Minnie?,\u201d Radiology, vol.211, no.1, pp.292-292, April 1999.","DOI":"10.1148\/radiology.211.1.r99ap22292"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] L. 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Park, and B. Zheng, \u201cImproving performance of content-based image retrieval schemes in searching for similar breast mass regions: an assessment,\u201d Physics in Medicine and Biology, vol.54, no.4, pp.949-961, 2009.","DOI":"10.1088\/0031-9155\/54\/4\/009"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] S.A. Napel, C.F. Beaulieu, C. Rodriguez, J. Cui, J. Xu, A. Gupta, D. Korenblum, H. Greenspan, Y. Ma, and D.L. Rubin, \u201cAutomated Retrieval of CT Images of Liver Lesions on the Basis of Image Similarity: Method and Preliminary Results,\u201d Radiology, vol.256, no.1, pp.243-252, 2010.","DOI":"10.1148\/radiol.10091694"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] S.C. Park, R. Sukthankar, L. Mummert, M. Satyanarayanan, and B. Zheng, \u201cOptimization of reference library used in content-based medical image retrieval scheme,\u201d Medical Physics, vol.34, no.11, pp.4331-4339, 2007.","DOI":"10.1118\/1.2795826"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] G.D. Tourassi, B. Harrawood, S. Singh, J.Y. Lo, and C.E. Floyd, \u201cEvaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms,\u201d Medical Physics, vol.34, no.1, pp.140-150, 2007.","DOI":"10.1118\/1.2401667"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] C. Muramatsu, Q. Li, R.A. Schmidt, J. Shiraishi, and K. Doi, \u201cDetermination of Similarity Measures for Pairs of Mass Lesions on Mammograms by Use of BI-RADS Lesion Descriptors and Image Features,\u201d Academic Radiology, vol.16, pp.443-449, April 2009.","DOI":"10.1016\/j.acra.2008.10.012"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] H.-C. Cho, L. Hadjiiski, B. Sahiner, H.-P. Chan, M. Helvie, C. Paramagul, and A.V. Nees, \u201cSimilarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images,\u201d Medical Physics, vol.38, no.4, pp.1820-1831, April 2011.","DOI":"10.1118\/1.3560877"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] J. Cui, B. Sahiner, H.-P. Chan, J. Shi, A. Nees, C. Paramagul, and L.M. Hadjiiski, \u201cA computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images,\u201d presented at the Proc. SPIE, 2009.","DOI":"10.1117\/12.813722"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] J. Cui, B. Sahiner, H.-P. Chan, A. Nees, C. Paramagul, L.M. Hadjiiski, C. Zhou, and J. Shi, \u201cA new automated method for the segmentation and characterization of breast masses on ultrasound images,\u201d Medical Physics, vol.36, no.5, pp.1553-1565, May 2009.","DOI":"10.1118\/1.3110069"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] B. Sahiner, H.-P. Chan, M.A. Roubidoux, M.A. Helvie, L.M. Hadjiiski, A. Ramachandran, C. Paramagul, G.L. LeCarpentier, A. Nees, and C. Blane, \u201cComputerized characterization of breast masses on three-dimensional ultrasound volumes,\u201d Medical Physics, vol.31, no.4, pp.744-754, 2004.","DOI":"10.1118\/1.1649531"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] R.M. Haralick, K. Shanmugam, and I. Dinstein, \u201cTexture features for image classification,\u201d IEEE Transactions on Systems, Man, and Cybernetics, vol.SMC-3, no.6, pp.610-621, 1973.","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"21","unstructured":"[21] P.A. 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