{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T17:45:05Z","timestamp":1760550305551},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319609638"},{"type":"electronic","value":"9783319609645"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-60964-5_32","type":"book-chapter","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T14:28:53Z","timestamp":1498055333000},"page":"365-376","source":"Crossref","is-referenced-by-count":9,"title":["Breast Density Classification Using Multiresolution Local Quinary Patterns in Mammograms"],"prefix":"10.1007","author":[{"given":"Andrik","family":"Rampun","sequence":"first","affiliation":[]},{"given":"Philip","family":"Morrow","sequence":"additional","affiliation":[]},{"given":"Bryan","family":"Scotney","sequence":"additional","affiliation":[]},{"given":"John","family":"Winder","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"key":"32_CR1","unstructured":"Cancer Research UK: Breast cancer statistics (2014). http:\/\/www.cancerresearchuk.org\/health-professional\/cancer-statistics\/statistics-by-cancer-type\/breast-cancer . Accessed 6 Jan 2017"},{"key":"32_CR2","unstructured":"Breast Cancer: U.S. Breast Cancer Statistics (2016). http:\/\/www.breastcancer.org\/symptoms\/understand_bc\/statistics . Accessed 6 Jan 2017"},{"issue":"1","key":"32_CR3","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TITB.2007.903514","volume":"12","author":"A Oliver","year":"2008","unstructured":"Oliver, A., Freixenet, J., Mart\u00ed, R., Pont, J., Perez, E., Denton, E.R.E., Zwiggelaar, R.: A novel breast tissue density classification methodology. IEEE Trans. Inf Technol. Biomed. 12(1), 55\u201365 (2008)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"32_CR4","unstructured":"Bovis, K., Singh, S.: Classification of mammographic breast density using a combined classifier paradigm. In: 4th International Workshop on Digital Mammography, pp. 177\u2013180 (2002)"},{"issue":"5","key":"32_CR5","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1007\/s10278-015-9777-5","volume":"28","author":"A Oliver","year":"2015","unstructured":"Oliver, A., Tortajada, M., Llad\u00f3, X., Freixenet, J., Ganau, S., Tortajada, L., Vilagran, M., Sent\u015b, M., Mart\u00ed, R.: Breast density analysis using an automatic density segmentation algorithm. J. Digit. Imaging 28(5), 604\u2013612 (2015)","journal-title":"J. Digit. Imaging"},{"issue":"4","key":"32_CR6","doi-asserted-by":"crossref","first-page":"362","DOI":"10.7305\/automatika.53-4.281","volume":"53","author":"M Mu\u0161tra","year":"2012","unstructured":"Mu\u0161tra, M., Grgi\u0107, M., Dela\u0107, K.: A Novel breast tissue density classification methodology. Breast density classification using multiple feature selection. Automatika 53(4), 362\u2013372 (2012)","journal-title":"Automatika"},{"issue":"2","key":"32_CR7","doi-asserted-by":"crossref","first-page":"225","DOI":"10.3233\/IDA-2010-0418","volume":"14","author":"NM Parthal\u00e1in","year":"2010","unstructured":"Parthal\u00e1in, N.M., Jensen, R., Shen, Q., Zwiggelaar, R.: Fuzzy-rough approaches for mammographic risk analysis. Intell. Data Anal. 14(2), 225\u2013244 (2010)","journal-title":"Intell. Data Anal."},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Chen, Z., Denton, E., Zwiggelaar, R.: Local feature based mamographic tissue pattern modelling and breast density classification. In: The 4th International Conference on Biomedical Engineering and Informatics, pp. 351\u2013355 (2011)","DOI":"10.1109\/BMEI.2011.6098279"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Bosch, A., Munoz, X., Oliver, A., Mart\u00ed, J.: Modeling and classifying breast tissue density in mammograms. In: Computer Vision and Pattern Recognition (CVPR 2006), pp. 1552\u20131558 (2006)","DOI":"10.1109\/CVPR.2006.188"},{"key":"32_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/978-3-642-38628-2_28","volume-title":"Pattern Recognition and Image Analysis","author":"Z Chen","year":"2013","unstructured":"Chen, Z., Oliver, A., Denton, E., Zwiggelaar, R.: Automated mammographic risk classification based on breast density estimation. In: Sanches, J.M., Mic\u00f3, L., Cardoso, J.S. (eds.) IbPRIA 2013. LNCS, vol. 7887, pp. 237\u2013244. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-38628-2_28"},{"issue":"5","key":"32_CR11","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1088\/0031-9155\/41\/5\/007","volume":"41","author":"JW Byng","year":"1996","unstructured":"Byng, J.W., Boyd, N.F., Fishell, E., Jong, R.A., Yaffe, M.J.: Automated analysis of mammographic densities. Phys. Med. Biol. 41(5), 909\u2013923 (1996)","journal-title":"Phys. Med. Biol."},{"issue":"3","key":"32_CR12","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.bspc.2011.03.008","volume":"6","author":"W He","year":"2011","unstructured":"He, W., Denton, E., Stafford, K., Zwiggelaar, R.: Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments. Biomed. Sig. Process. Control 6(3), 321\u2013329 (2011)","journal-title":"Biomed. Sig. Process. Control"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Petroudi, S., Kadir, T., Brady, M.: Automatic classification of mammographic parenchymal patterns: a statistical approach. In: Proceedings IEEE Conference Engineering in Medicine Biology Society, vol. 1, pp. 798\u2013801 (2003)","DOI":"10.1109\/IEMBS.2003.1279885"},{"issue":"7","key":"32_CR14","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971\u2013987 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"32_CR15","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.artmed.2010.02.006","volume":"49","author":"L Nanni","year":"2010","unstructured":"Nanni, L., Luminia, A., Brahnam, S.: Local binary patterns variants as texture descriptors for medical image analysis. Artif. Intell. Med. 49(2), 117\u2013125 (2010)","journal-title":"Artif. Intell. Med."},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Tan, X., Triggs, B.: Enhanced local texture feature sets for face recognition under difficult lighting conditions. In: Analysis and Modelling of Faces and Gestures, pp. 168\u2013182 (2007)","DOI":"10.1007\/978-3-540-75690-3_13"},{"key":"32_CR17","unstructured":"Suckling, J., et al.: The mammographic image analysis society digital mammogram database. In: Proceedings of Exerpta Medica. International Congress Series, pp. 375\u2013378 (1994)"},{"key":"32_CR18","doi-asserted-by":"crossref","unstructured":"Rampun, A., Morrow, P.J., Scotney, B.W., Winder, R.J.: Fully automated breast boundary and pectoral muscle segmentation in mammograms. Artif. Intell. Med. (2017, under review)","DOI":"10.1016\/j.artmed.2017.06.001"},{"key":"32_CR19","doi-asserted-by":"crossref","first-page":"3834","DOI":"10.1016\/j.patcog.2012.04.003","volume":"45","author":"Y Gio","year":"2012","unstructured":"Gio, Y., Zhao, G., Pietik\u00e4inen, M.: Discriminative features for feature description. Pattern Recogn. 45, 3834\u20133843 (2012)","journal-title":"Pattern Recogn."},{"key":"32_CR20","doi-asserted-by":"crossref","unstructured":"Rampun, A., Winder, R.J., Morrow, P.J., Scotney, B.W.: Breast density classification in mammograms using local ternary patterns. In: International Conference on Image Analysis and Recognition (2017)","DOI":"10.1007\/978-3-319-59876-5_51"}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60964-5_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T13:18:05Z","timestamp":1569503885000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60964-5_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319609638","9783319609645"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60964-5_32","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}