{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T20:29:06Z","timestamp":1757622546845,"version":"3.44.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T00:00:00Z","timestamp":1754870400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T00:00:00Z","timestamp":1754870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Clinical Research Program of Nanfang Hospital, Southern Medical University","award":["2019CR003"],"award-info":[{"award-number":["2019CR003"]}]},{"name":"President\u2019s Fund of Nanfang Hospital, Southern Medical University","award":["2023B049"],"award-info":[{"award-number":["2023B049"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82171929"],"award-info":[{"award-number":["82171929"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100007452","name":"Wu Jieping Medical Foundation","doi-asserted-by":"crossref","award":["320.6750.2021-06-36"],"award-info":[{"award-number":["320.6750.2021-06-36"]}],"id":[{"id":"10.13039\/100007452","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science and Technology Program of Guangdong Province, China","award":["2024A1111120015"],"award-info":[{"award-number":["2024A1111120015"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-025-01862-3","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T09:36:27Z","timestamp":1754904987000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improvement in matching lesions in dual-view mammograms using a geometric model"],"prefix":"10.1186","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2159-7921","authenticated-orcid":false,"given":"Sina","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9899-778X","authenticated-orcid":false,"given":"Zeyuan","family":"Xu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8653-8060","authenticated-orcid":false,"given":"Bowen","family":"Zheng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3715-8317","authenticated-orcid":false,"given":"Hui","family":"Zeng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7147-3970","authenticated-orcid":false,"given":"Derun","family":"Pan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7261-0372","authenticated-orcid":false,"given":"Mengwei","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1552-0511","authenticated-orcid":false,"given":"Weiguo","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7563-3924","authenticated-orcid":false,"given":"Genggeng","family":"Qin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"issue":"3","key":"1862_CR1","first-page":"209","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209\u201349.","journal-title":"CA Cancer J Clin"},{"key":"1862_CR2","doi-asserted-by":"crossref","unstructured":"Amit G, Hashoul S, Kisilev P, Ophir B, Walach E, Zlotnick A. Automatic dual-view mass detection in full-field digital mammograms. In MICCAI. Springer, 2015: 44\u201352.","DOI":"10.1007\/978-3-319-24571-3_6"},{"key":"1862_CR3","doi-asserted-by":"publisher","first-page":"102083","DOI":"10.1016\/j.media.2021.102083","volume":"71","author":"Y Yan","year":"2021","unstructured":"Yan Y, Conze PH, Lamard M, Quellec G, Cochener B, Coatrieux G. Towards improved breast mass detection using dual-view mammogram matching. Med Image Anal. 2021;71:102083.","journal-title":"Med Image Anal"},{"issue":"5","key":"1862_CR4","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1088\/0031-9155\/54\/5\/003","volume":"54","author":"M Velikova","year":"2009","unstructured":"Velikova M, Samulski M, Lucas PJ, Karssemeijer N. Improved mammographic CAD performance using multi-view information: a bayesian network framework. Phys Med Biol. 2009;54(5):1131\u201347.","journal-title":"Phys Med Biol"},{"issue":"24","key":"1862_CR5","doi-asserted-by":"publisher","first-page":"2353","DOI":"10.1056\/NEJMsr1504363","volume":"372","author":"B Lauby-Secretan","year":"2015","unstructured":"Lauby-Secretan B, Scoccianti C, Loomis D, et al. Breast-Cancer screening --Viewpoint of the IARC working group. N Engl J Med. 2015;372(24):2353\u20138.","journal-title":"N Engl J Med"},{"issue":"2","key":"1862_CR6","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1118\/1.1446098","volume":"29","author":"S Paquerault","year":"2002","unstructured":"Paquerault S, Petrick N, Chan H-P, Sahiner B, Helvie MA. Improvement of computerized mass detection on mammograms: fusion of two-view information. Med Phys. 2002;29(2):238\u201347.","journal-title":"Med Phys"},{"issue":"7","key":"1862_CR7","doi-asserted-by":"publisher","first-page":"2574","DOI":"10.1118\/1.2208919","volume":"33","author":"B Sahiner","year":"2006","unstructured":"Sahiner B, Chan H-P, Hadjiiski LM, et al. Joint two-view information for computerized detection of microcalcifications on mammograms. Med Phys. 2006;33(7):2574\u201385.","journal-title":"Med Phys"},{"issue":"4","key":"1862_CR8","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1109\/TMI.2011.2105886","volume":"30","author":"M Samulski","year":"2011","unstructured":"Samulski M, Karssemeijer N. Optimizing Case-based detection performance in a multiview CAD system for mammography. IEEE Trans Med Imaging. 2011;30(4):1001\u20139.","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"1862_CR9","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1186\/s12880-021-00565-9","volume":"21","author":"Y Ji","year":"2021","unstructured":"Ji Y, Li B, Zhao R, Zhang Y, Liu J, Lu H. The relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients from a large clinical dataset. BMC Med Imaging. 2021;21(1):43.","journal-title":"BMC Med Imaging"},{"issue":"4","key":"1862_CR10","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1093\/ije\/dyu042","volume":"43","author":"H Dai","year":"2014","unstructured":"Dai H, Yan Y, Wang P, et al. Distribution of mammographic density and its influential factors among Chinese women. Int J Epidemiol. 2014;43(4):1240\u201351.","journal-title":"Int J Epidemiol"},{"issue":"9","key":"1862_CR11","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1016\/j.medengphy.2008.01.005","volume":"30","author":"AP del Palomar","year":"2008","unstructured":"del Palomar AP, Calvo B, Herrero J, L\u00f3pez J, Doblar\u00e9 M. A finite element model to accurately predict real deformations of the breast. Med Eng Phys. 2008;30(9):1089\u201397.","journal-title":"Med Eng Phys"},{"issue":"11","key":"1862_CR12","doi-asserted-by":"publisher","first-page":"1338","DOI":"10.1016\/j.acra.2009.05.005","volume":"16","author":"B Zheng","year":"2009","unstructured":"Zheng B, Tan J, Ganott MA, Chough DM, Gur D. Matching breast masses depicted on different views a comparison of three methods. Acad Radiol. 2009;16(11):1338\u201347.","journal-title":"Acad Radiol"},{"key":"1862_CR13","doi-asserted-by":"crossref","unstructured":"Kita Y, Highnam R, Brady M. Correspondence between different view breast X rays using curved epipolar lines. Comput Vis Image Underst. 2001;83(1):38\u201356.","DOI":"10.1006\/cviu.2001.0908"},{"issue":"2","key":"1862_CR14","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1118\/1.1851892","volume":"32","author":"P Filev","year":"2005","unstructured":"Filev P, Hadjiiski L, Sahiner B, Chan HP, Helvie MA. Comparison of similarity measures for the task of template matching of masses on serial mammograms. Med Phys. 2005;32(2):515\u201329.","journal-title":"Med Phys"},{"issue":"6","key":"1862_CR15","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1118\/1.1376134","volume":"28","author":"L Hadjiiski","year":"2001","unstructured":"Hadjiiski L, Chan HP, Sahiner B, Petrick N, Helvie MA. Automated registration of breast lesions in Temporal pairs of mammograms for interval change analysis\u2013local affine transformation for improved localization. Med Phys. 2001;28(6):1070\u20139.","journal-title":"Med Phys"},{"key":"1862_CR16","doi-asserted-by":"publisher","first-page":"106152","DOI":"10.1016\/j.cmpb.2021.106152","volume":"207","author":"M AlGhamdi","year":"2021","unstructured":"AlGhamdi M, Abdel-Mottaleb M. DV-DCNN: Dual-view deep convolutional neural network for matching detected masses in mammograms. Comput Methods Programs Biomed. 2021;207:106152.","journal-title":"Comput Methods Programs Biomed"},{"issue":"2","key":"1862_CR17","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1118\/1.2828188","volume":"35","author":"J Pu","year":"2008","unstructured":"Pu J, Zheng B, Leader JK, Gur D. An ellipse-fitting based method for efficient registration of breast masses on two mammographic views: Ellipse-fitting based method for efficient registration of breast masses. Med Phys. 2008;35(2):487\u201394.","journal-title":"Med Phys"},{"issue":"9","key":"1862_CR18","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1097\/00004424-199909000-00006","volume":"34","author":"YH Chang","year":"1999","unstructured":"Chang YH, Good WF, Sumkin JH, Zheng B, Gur D. Computerized localization of breast lesions from two views. An experimental comparison of two methods. Invest Radiol. 1999;34(9):585\u20138.","journal-title":"Invest Radiol"},{"key":"1862_CR19","doi-asserted-by":"crossref","unstructured":"Wilms M, Kr\u00fcger J, Marx M, Ehrhardt J, Bischof A, Handels H. Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods. Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis 2015;94142B.","DOI":"10.1117\/12.2081862"},{"issue":"10","key":"1862_CR20","doi-asserted-by":"publisher","first-page":"2471","DOI":"10.1109\/TBME.2008.925714","volume":"55","author":"P Pathmanathan","year":"2008","unstructured":"Pathmanathan P, Gavaghan DJ, Whiteley JP, Chapman SJ, Brady JM. Predicting tumor location by modeling the deformation of the breast. IEEE Trans Biomed Eng. 2008;55(10):2471\u201380.","journal-title":"IEEE Trans Biomed Eng"},{"issue":"22","key":"1862_CR21","doi-asserted-by":"publisher","first-page":"8720","DOI":"10.1088\/1361-6560\/aa8d62","volume":"62","author":"A Lapuebla-Ferri","year":"2017","unstructured":"Lapuebla-Ferri A, Cego\u00f1ino-Banzo J, Jim\u00e9nez-Mochol\u00ed AJ, Del Palomar AP. Towards an in-plane methodology to track breast lesions using mammograms and patient-specific finite-element simulations. Phys Med Biol. 2017;62(22):8720\u201338.","journal-title":"Phys Med Biol"},{"key":"1862_CR22","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/978-3-030-00946-5_6","volume-title":"Image analysis for moving organ, breast, and thoracic images","author":"S Perek","year":"2018","unstructured":"Perek S, Hazan A, Barkan E, Akselrod-Ballin A. Siamese network for Dual-View mammography mass matching. In: Stoyanov D, et al., editors. Image analysis for moving organ, breast, and thoracic images. Cham: Springer; 2018. p. 55\u201363."},{"issue":"11","key":"1862_CR23","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1109\/TBME.2022.3173182","volume":"69","author":"WC Walton","year":"2022","unstructured":"Walton WC, Kim SJ, Mullen LA. Automated registration for Dual-View X-Ray mammography using convolutional neural networks. IEEE Trans Biomed Eng. 2022;69(11):3538\u201350.","journal-title":"IEEE Trans Biomed Eng"},{"key":"1862_CR24","first-page":"2758","volume":"2019","author":"WC Walton","year":"2019","unstructured":"Walton WC, Kim SJ, Harvey SC, Mullen LA, Porter DW. Towards CNN-Based registration of craniocaudal and mediolateral oblique 2-D X-ray mammographic images. Annu Int Conf IEEE Eng Med Biol Soc. 2019;2019:2758\u201364.","journal-title":"Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"1862_CR25","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1007\/978-3-030-58309-5_13","volume-title":"Artificial neural networks in pattern recognition","author":"S Famouri","year":"2020","unstructured":"Famouri S, Morra L, Lamberti F. A deep learning approach for efficient registration of dual view mammography. In: Fink GA et al., editors. Artificial neural networks in pattern recognition. Cham: Springer; 2020. p. 162\u201372."},{"issue":"1","key":"1862_CR26","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1007\/s10479-022-04755-8","volume":"328","author":"R Ranjbarzadeh","year":"2022","unstructured":"Ranjbarzadeh R, Tataei Sarshar N, Jafarzadeh Ghoushchi S, et al. MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in mammograms using a convolutional neural network[J]. Ann Oper Res. 2022;328(1):1021\u201342.","journal-title":"Ann Oper Res"},{"key":"1862_CR27","doi-asserted-by":"crossref","unstructured":"Baseri Saadi S, Tataei Sarshar N, Sadeghi S, Ranjbarzadeh R, Forooshani MK, Bendechache M. Investigation of effectiveness of shuffled Frog-Leaping optimizer in training a Convolution neural network. J Healthc Eng. 2022;2022:4703682.","DOI":"10.1155\/2022\/4703682"},{"issue":"11","key":"1862_CR28","doi-asserted-by":"publisher","first-page":"1828","DOI":"10.1001\/jamainternmed.2015.5231","volume":"175","author":"CD Lehman","year":"2015","unstructured":"Lehman CD, Wellman RD, Buist DSM, et al. Breast cancer surveillance consortium. Diagnostic accuracy of digital screening mammography with and without Computer-Aided detection. JAMA Intern Med. 2015;175(11):1828\u201337.","journal-title":"JAMA Intern Med"},{"issue":"2","key":"1862_CR29","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1148\/radiol.2019182627","volume":"293","author":"KJ Geras","year":"2019","unstructured":"Geras KJ, Mann RM, Moy L. Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives. Radiology. 2019;293(2):246\u201359.","journal-title":"Radiology"},{"key":"1862_CR30","doi-asserted-by":"publisher","first-page":"31586","DOI":"10.1109\/ACCESS.2019.2902854","volume":"7","author":"X Duan","year":"2019","unstructured":"Duan X, Qin G, Ling Q, et al. Matching corresponding regions of interest on Cranio-Caudal and Medio-Lateral oblique view mammograms. IEEE Access. 2019;7:31586\u201397.","journal-title":"IEEE Access"},{"key":"1862_CR31","unstructured":"American College of Radiology. ACR BI-RADS-Mammography 5th Edition\/\/ ACR Breast Imaging Reporting and Data System, Breast Imaging Atlas. Reston: American College of Radiology, 2013.[J]."},{"issue":"1","key":"1862_CR32","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1148\/radiol.2020192003","volume":"296","author":"Q Zheng","year":"2020","unstructured":"Zheng Q, Shellikeri S, Huang H, Hwang M, Sze RW. Deep learning measurement of leg length discrepancy in children based on radiographs. Radiology. 2020;296(1):152\u20138.","journal-title":"Radiology"},{"issue":"3","key":"1862_CR33","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1148\/radiol.2019190938","volume":"293","author":"P Schelb","year":"2019","unstructured":"Schelb P, Kohl S, Radtke JP, et al. Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment. Radiology. 2019;293(3):607\u201317.","journal-title":"Radiology"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01862-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-025-01862-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01862-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T20:12:07Z","timestamp":1757362327000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-025-01862-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,11]]},"references-count":33,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1862"],"URL":"https:\/\/doi.org\/10.1186\/s12880-025-01862-3","relation":{},"ISSN":["1471-2342"],"issn-type":[{"type":"electronic","value":"1471-2342"}],"subject":[],"published":{"date-parts":[[2025,8,11]]},"assertion":[{"value":"4 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"In accordance with the Declaration of Helsinki, ethical approval was provided by the Ethics Committee of Nanfang Hospital of Southern Medical University, and the requirement for informed consent from patients was waived.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"322"}}