{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:41:21Z","timestamp":1787067681480,"version":"build-2736575974"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T00:00:00Z","timestamp":1646784000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T00:00:00Z","timestamp":1646784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the grant from Natural Science Foundation of Zhejiang Province of China","award":["LZ15F01001"],"award-info":[{"award-number":["LZ15F01001"]}]},{"name":"the National Key R&D Program","award":["2017YFC0109402"],"award-info":[{"award-number":["2017YFC0109402"]}]},{"name":"National Basic Research Program (973 program) of China","award":["2013CB329502"],"award-info":[{"award-number":["2013CB329502"]}]},{"name":"the National Cancer Institute, National Institutes of Health, USA","award":["R01CA197150"],"award-info":[{"award-number":["R01CA197150"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61731008"],"award-info":[{"award-number":["61731008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61401131"],"award-info":[{"award-number":["61401131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10278-019-00266-4","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T09:02:32Z","timestamp":1646816552000},"page":"910-922","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms"],"prefix":"10.1007","volume":"35","author":[{"given":"Yane","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihua","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,9]]},"reference":[{"key":"266_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3322\/caac.21261","volume":"65","author":"RA Smith","year":"2015","unstructured":"Smith RA, Manassaram-Baptiste D, Brooks D et al.: Cancer screening in the United States, 2015: a review of current American cancer society guidelines and current issues in cancer screening. CA Cancer J Clin 65:30\u201354, 2015","journal-title":"CA Cancer J Clin"},{"key":"266_CR2","doi-asserted-by":"publisher","first-page":"4357","DOI":"10.1088\/0031-9155\/59\/15\/4357","volume":"59","author":"M Tan","year":"2014","unstructured":"Tan M, Pu J: Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. Phys Med Biol 59:4357\u20134373, 2014","journal-title":"Phys Med Biol"},{"key":"266_CR3","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1056\/NEJMoa062790","volume":"356","author":"NF Boyd","year":"2007","unstructured":"Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, Jong RA, Hislop G, Chiarelli A, Minkin S, Yaffe MJ: Mammographic density and the risk and detection of breast cancer. N Engl J Med 356:227\u2013236, 2007","journal-title":"N Engl J Med"},{"key":"266_CR4","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1148\/radiol.10100056","volume":"255","author":"L Brelin","year":"2010","unstructured":"Brelin L, Hall FM: More mammography muddle: Emotions, politics, science, costs and polarization. Radiology 255:311\u2013316, 2010","journal-title":"Radiology"},{"key":"266_CR5","doi-asserted-by":"publisher","first-page":"10","DOI":"10.7326\/0003-4819-155-1-201107050-00003","volume":"155","author":"JT Schousboe","year":"2011","unstructured":"Schousboe JT, Kerlikowske K: Personalizing mammography by breast density and other risk factors for breast cancer: Analysis of health benefits and cost-effectiveness. Ann Intern Med 155:10\u201320, 2011","journal-title":"Ann Intern Med"},{"key":"266_CR6","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1093\/jnci\/djq088","volume":"102","author":"E Amir","year":"2010","unstructured":"Amir E, Freedman OC: Assessing women at high risk of breast cancer: A review of risk assessment models. J Natl Cancer Inst 102:680\u2013691, 2010","journal-title":"J Natl Cancer Inst"},{"key":"266_CR7","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1186\/bcr2942","volume":"13","author":"NF Boyd","year":"2011","unstructured":"Boyd NF, Martin LJ, Yaffe MJ, Minkin S: Mammographic density and breast cancer risk: current understanding and future prospects. Breast Cancer Res 13:223, 2011","journal-title":"Breast Cancer Res"},{"key":"266_CR8","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1093\/jnci\/djs254","volume":"104","author":"JJ Heine","year":"2012","unstructured":"Heine JJ, Scott CG, Sellers TA et al.: A novel automated mammographic density measure and breast cancer risk. J Natl Cancer Inst 104:1028\u20131037, 2012","journal-title":"J Natl Cancer Inst"},{"key":"266_CR9","doi-asserted-by":"publisher","first-page":"R114","DOI":"10.1186\/bcr3238","volume":"14","author":"J Li","year":"2012","unstructured":"Li J, Szekely L, Eriksson L et al.: High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer. Breast Cancer Res 14:R114, 2012","journal-title":"Breast Cancer Res"},{"key":"266_CR10","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1016\/j.patcog.2013.09.033","volume":"47","author":"XZ Li","year":"2014","unstructured":"Li XZ, Williams S, Bottema MJ: Constructing and applying higher order textons: Estimating breast cancer risk. Pattern Recogn 47:1375\u20131382, 2014","journal-title":"Pattern Recogn"},{"key":"266_CR11","doi-asserted-by":"publisher","first-page":"3222","DOI":"10.1016\/j.ejrad.2012.04.018","volume":"81","author":"B Zheng","year":"2012","unstructured":"Zheng B, Sumkin JH: Bilateral mammographic density asymmetry and breast cancer risk: A preliminary assessment. Eur J Radiol 81:3222\u20133228, 2012","journal-title":"Eur J Radiol"},{"key":"266_CR12","doi-asserted-by":"publisher","first-page":"025004","DOI":"10.1088\/1361-6560\/aaa096","volume":"63","author":"Y Li","year":"2018","unstructured":"Li Y, Fan M, Cheng H, Zhang P, Zheng B, Li L: Assessment of global and local region-based bilateral mammographic feature asymmetry to predict short-term breast cancer risk. Phys Med Biol 63:025004, 2018","journal-title":"Phys Med Biol"},{"key":"266_CR13","first-page":"169","volume":"37","author":"Y Li","year":"2018","unstructured":"Li Y, Zh P, Fan M et al.: Prediction of near-term breast cancer risk in mediolateral oblique view of mammography. Chin J Biomed Eng 37:169\u2013180, 2018 (Chinese)","journal-title":"Chin J Biomed Eng"},{"key":"266_CR14","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1118\/1.2230359","volume":"33","author":"S van Engeland","year":"2006","unstructured":"van Engeland S, Timp S: Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammography views. Med Phys 33:3203\u20133212, 2006","journal-title":"Med Phys"},{"key":"266_CR15","doi-asserted-by":"publisher","first-page":"2416","DOI":"10.1007\/s10439-015-1316-5","volume":"43","author":"M Tan","year":"2015","unstructured":"Tan M, Pu J, Cheng S, Liu H, Zheng B: Assessment of a four-view mammographic image feature based fusion model to predict near-term breast cancer risk. Ann Biomed Eng 43:2416\u20132428, 2015","journal-title":"Ann Biomed Eng"},{"key":"266_CR16","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.1016\/j.acra.2013.08.020","volume":"20","author":"M Tan","year":"2013","unstructured":"Tan M, Zheng B, Ramalingam P, Gur D: Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry. Acad Radiol 20:1542\u20131550, 2013","journal-title":"Acad Radiol"},{"key":"266_CR17","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1259\/bjr\/51461617","volume":"85","author":"B Zheng","year":"2012","unstructured":"Zheng B, Sumkin JH: Computer-aided detection of breast masses depicted on full-field digital mammograms: A performance assessment. Br J Radiol 85:153\u2013161, 2012","journal-title":"Br J Radiol"},{"key":"266_CR18","doi-asserted-by":"publisher","first-page":"948","DOI":"10.1007\/s10278-013-9587-6","volume":"26","author":"P Casti","year":"2013","unstructured":"Casti P, Mencattini A, Salmeri M, Ancona A, Mangieri FF, Pepe ML, Rangayyan RM: Automatic detection of the nipple in screen-film and full-field digital mammograms using a novel Hessian-based method. J Digit Imaging 26:948\u2013957, 2013","journal-title":"J Digit Imaging"},{"key":"266_CR19","doi-asserted-by":"publisher","first-page":"1870","DOI":"10.1016\/j.compbiomed.2013.09.001","volume":"43","author":"P Casti","year":"2013","unstructured":"Casti P, Mencattini A, Salmeri M, Ancona A, Mangeri F, Pepe ML, Rangayyan RM: Estimation of the breast skin-line in mammograms using multidirectional Gabor filters-computers in biology and medicine. Comput Biol Med 43:1870\u20131881, 2013","journal-title":"Comput Biol Med"},{"key":"266_CR20","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1109\/TMI.2014.2365436","volume":"34","author":"P Casti","year":"2015","unstructured":"Casti P, Mencattini A: Analysis of structural similarity in mammograms for detection of bilateral asymmetry. IEEE Trans Med Imaging 34:662\u2013671, 2015","journal-title":"IEEE Trans Med Imaging"},{"key":"266_CR21","doi-asserted-by":"publisher","first-page":"1719","DOI":"10.1109\/TMI.2016.2527619","volume":"35","author":"M Tan","year":"2016","unstructured":"Tan M, Zheng B: Association between changes in mammographic image features and risk for near-term breast cancer development. IEEE Trans Med Imaging 35:1719\u20131728, 2016","journal-title":"IEEE Trans Med Imaging"},{"key":"266_CR22","doi-asserted-by":"publisher","first-page":"2385","DOI":"10.1109\/TIP.2009.2025923","volume":"18","author":"MP Sampat","year":"2009","unstructured":"Sampat MP, Wang Z: Complex wavelet structural similarity: A new image similarity index. IEEE Trans Image Process 18:2385\u20132401, 2009","journal-title":"IEEE Trans Image Process"},{"key":"266_CR23","first-page":"193","volume-title":"Modelling scale in Geographical Information Science","author":"MA Oliver","year":"2001","unstructured":"Oliver MA: Determining the spatial scale of variation in environmental properties using the variogram. In: Tate N, Atkinson PM Eds. Modelling scale in Geographical Information Science. New York: Wiley, Inc, 2001, pp. 193\u2013219"},{"key":"266_CR24","doi-asserted-by":"publisher","first-page":"4104","DOI":"10.1118\/1.2358326","volume":"33","author":"DM Catarious Jr","year":"2006","unstructured":"Catarious, Jr DM, Baydush AH: Characterization of difference of Gaussian filters in the detection of mammographic regions. Med Phys 33:4104\u20134114, 2006","journal-title":"Med Phys"},{"key":"266_CR25","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP: Image quality assessment: From error visibility to structural similarity. IEEE Trans Image Process 13:600\u2013612, 2004","journal-title":"IEEE Trans Image Process"},{"key":"266_CR26","doi-asserted-by":"publisher","first-page":"483","DOI":"10.4025\/actasciagron.v37i4.19676","volume":"37","author":"RMS Souza","year":"2015","unstructured":"Souza RMS, Almeida AQD, Ribeiro A, Souza ESD, Leite FP: Evaluation of the spatial dependence of dendrometric characteristics for an Eucalyptus plantation. Acta Sci Agron 37:483\u2013488, 2015","journal-title":"Acta Sci Agron"},{"key":"266_CR27","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.1118\/1.1738960","volume":"31","author":"DM Catarious Jr","year":"2004","unstructured":"Catarious, Jr DM, Baydush AH, Floyd, Jr CE: Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system. Med Phys 31:1512\u20131520, 2004","journal-title":"Med Phys"},{"key":"266_CR28","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1111\/tbj.12255","volume":"20","author":"B Zheng","year":"2014","unstructured":"Zheng B, Tan M: Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk. Breast J 20:249\u2013257, 2014","journal-title":"Breast J"},{"key":"266_CR29","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1118\/1.2179750","volume":"33","author":"Q Li","year":"2006","unstructured":"Li Q, Doi K: Reduction of bias and variance for evaluation of computer-aided diagnostic schemes. Med Phys 33:868\u2013875, 2006","journal-title":"Med Phys"},{"key":"266_CR30","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/34.667881","volume":"20","author":"J Kittler","year":"1998","unstructured":"Kittler J, Hatef M: On combining classifiers. IEEE Trans Pattern Anal Mach Intell 20:226\u2013239, 1998","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"266_CR31","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1166\/jmihi.2018.2297","volume":"8","author":"D Xi","year":"2018","unstructured":"Xi D, Li L, Zhang J, Shan Y, Dai G, Fan M, Zheng B: Improvement of mammographic mass classification performance using an intelligent data fusion method. J Med Imaging Health Informatics 8:275\u2013283, 2018","journal-title":"J Med Imaging Health Informatics"},{"key":"266_CR32","doi-asserted-by":"publisher","first-page":"2780","DOI":"10.1162\/neco.2007.19.10.2780","volume":"19","author":"S Amari","year":"2007","unstructured":"Amari S: Integration of stochastic models by minimizing a-divergence. Neural Comput 19:2780\u20132796, 2007","journal-title":"Neural Comput"},{"key":"266_CR33","first-page":"2010","volume":"23","author":"H Choi","year":"2058","unstructured":"Choi H, Choi S, Katake A, Choe Y: Learning a-integration with partially-labeled data. IEEE Int Conf Acoust Speech Signal Process 23:2010, 2058-2061","journal-title":"IEEE Int Conf Acoust Speech Signal Process"},{"key":"266_CR34","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1162\/NECO_a_00445","volume":"25","author":"H Choi","year":"2013","unstructured":"Choi H, Choi S, Choe Y: Parameter learning for alpha integration. Neural Comput 25:1585\u20131604, 2013","journal-title":"Neural Comput"},{"key":"266_CR35","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","volume":"21","author":"EW Steyerberg","year":"2010","unstructured":"Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ, Kattan MW: Assessing the performance of prediction models: A framework for traditional and novel measures. Epidemiology 21:128\u2013138, 2010","journal-title":"Epidemiology"},{"key":"266_CR36","doi-asserted-by":"publisher","first-page":"837","DOI":"10.2307\/2531595","volume":"44","author":"ER DeLong","year":"1988","unstructured":"DeLong ER, DeLong DM: Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 44:837\u2013845, 1988","journal-title":"Biometrics"},{"key":"266_CR37","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.ejca.2017.10.022","volume":"88","author":"SW Duffy","year":"2018","unstructured":"Duffy SW, Morrish OWE, Allgood PC: Mammographic density and breast cancer risk in breast screening assessment cases and women with a family history of breast cancer. Eur J Cancer 88:48\u201356, 2018","journal-title":"Eur J Cancer"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-019-00266-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-019-00266-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-019-00266-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T12:16:35Z","timestamp":1663589795000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-019-00266-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,9]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["266"],"URL":"https:\/\/doi.org\/10.1007\/s10278-019-00266-4","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,9]]},"assertion":[{"value":"9 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}