{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:12:21Z","timestamp":1784178741626,"version":"3.55.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada (NSERC) Research Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2022.3192857","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T19:57:08Z","timestamp":1658779028000},"page":"21199-21209","source":"Crossref","is-referenced-by-count":34,"title":["An Efficient Transfer and Ensemble Learning Based Computer Aided Breast Abnormality Diagnosis System"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9423-6548","authenticated-orcid":false,"given":"Farnoosh","family":"Azour","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, University of Ottawa, Ottawa, KS, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3851-9938","authenticated-orcid":false,"given":"Azzedine","family":"Boukerche","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, KS, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1503\/cmaj.191292"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/app10228298"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2008.2009441"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4172\/2157-7420.1000238"},{"issue":"8","key":"ref5","first-page":"4359","article-title":"Comparison of the mammography, contrast-enhanced spectral mammography and ultrasonography in a group of 116 patients","volume":"36","author":"Luczy\u0144ska","year":"2016","journal-title":"Anticancer Res."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1206809"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012119792-6\/50130-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/12.2530291"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.01.039"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759332"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4172\/2157-7420.1000238"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.3042053"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2655486"},{"key":"ref14","volume-title":"What Does the Doctor Look for on a Mammogram?","year":"2021"},{"key":"ref15","volume-title":"Breast Imaging Reporting & Data System |American College of Radiology","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3061086"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-014-0992-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2015.7359868"},{"key":"ref20","article-title":"Breast mass classification from mammograms using deep convolutional neural networks","author":"L\u00e9vy","year":"2016","journal-title":"arXiv:1612.00542"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2953318"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2019.8787295"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3042889"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-6837-0_7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-48995-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-020-02150-8"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.02.017"},{"key":"ref28","volume-title":"MS Windows NT Kernel Description","year":"2010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0316-z"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2017.0387"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"ref32","first-page":"1","article-title":"Combining machine learning models and scores using combo library","volume-title":"Proc. 34th AAAI Conf. Artif. Intell.","author":"Zhao"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.01.007"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref37","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR.2015.7298594","article-title":"Going deeper with convolutions","volume-title":"arXiv:1409.4842","author":"Szegedy"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref41","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.01.009"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.177"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3151830"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-019-2823-4"},{"key":"ref46","volume-title":"Type I and Type II Errors and Statistical Power","author":"Shreffler","year":"2020"},{"key":"ref47","author":"Chougrad","year":"2017","journal-title":"Convolutional neural networks for breast cancer screening: Transfer learning with exponential decay"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/09839609.pdf?arnumber=9839609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T03:30:49Z","timestamp":1709350249000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9839609\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3192857","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}