{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T02:04:16Z","timestamp":1778897056472,"version":"3.51.4"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Research Division of INDIGO Technologies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3127862","type":"journal-article","created":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T00:23:28Z","timestamp":1636763008000},"page":"152206-152225","source":"Crossref","is-referenced-by-count":24,"title":["Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms"],"prefix":"10.1109","volume":"9","author":[{"given":"Andres","family":"Anaya-Isaza","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1825-4370","authenticated-orcid":false,"given":"Leonel","family":"Mera-Jimenez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7696-4741","authenticated-orcid":false,"given":"Johan Manuel","family":"Cabrera-Chavarro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8951-8150","authenticated-orcid":false,"given":"Lorena","family":"Guachi-Guachi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Peluffo-Ordonez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge Ivan","family":"Rios-Patino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67389-9_44"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.84.4.327"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1148\/89.2.211"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0320-3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09854-1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2636665"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCT.2015.63"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1142\/S021946781950013X"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2019.12.007"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1302\/2046-3758.73.BJR-2017-0147.R1"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref34","article-title":"Convolutional neural networks as a model of the visual system: Past, present, and future","author":"lindsay","year":"2020","journal-title":"arXiv 2001 07092"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296389"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2914873"},{"key":"ref64","first-page":"10691","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn (ICML)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41568-018-0016-5"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.025"},{"key":"ref29","first-page":"438","article-title":"Limitations in distinguishing malignant from benign lesions of the breast by systematic review of mammograms","volume":"173","author":"monostori","year":"1991","journal-title":"Surg Gynecol Obstet"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CIBCB48159.2020.9277638"},{"key":"ref68","first-page":"743","article-title":"Automated image segmentation using improved PCNN model based on cross-entropy","author":"ma","year":"2004","journal-title":"Proc Int Symp Intell Multimedia Video Speech Process"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm158"},{"key":"ref2","year":"2017","journal-title":"Breast Cancer What is Breast Cancer"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21551"},{"key":"ref20","year":"2019","journal-title":"Early Detection of Breast Cancer"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(20)30398-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpet.2018.02.006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21412"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/dju261"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2018.08.014"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2021.03.048"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref59","first-page":"4278","article-title":"Inception-v4, Inception-ResNet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell (AAAI)"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Proc 3rd Int Conf Learn Represent ICLR Conf Track"},{"key":"ref56","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"arXiv 1505 04597"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2011.09.014"},{"key":"ref54","author":"suckling","year":"1994","journal-title":"The Mammographic Image Analysis Society Digital Mammogram Database"},{"key":"ref53","article-title":"Curated breast imaging subset of DDSM [dataset]","author":"lee","year":"2016","journal-title":"The Cancer Imaging Archive"},{"key":"ref52","first-page":"1","article-title":"A curated mammography data set for use in computer-aided detection and diagnosis research","volume":"4","author":"lee","year":"2017","journal-title":"Data Science Journal"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-822009-2.00004-2"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.18.20392"},{"key":"ref11","year":"2021","journal-title":"Breast Cancer Statistics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5114\/pm.2015.54346"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/bs.pmbts.2017.07.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2021.04.016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/jcp.26379"},{"key":"ref16","author":"kasban","year":"2015","journal-title":"A Comparative Study of Medical Imaging Techniques"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s40336-020-00359-z"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.4236\/oalib.1106866"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcna.2008.04.003"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref3","year":"2020","journal-title":"Breast cancer facts & figures 20092010"},{"key":"ref6","year":"2020","journal-title":"Breast cancer now most common form of cancer Who taking action"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30766-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21156"},{"key":"ref7","year":"2019","journal-title":"Breast Cancer Risk and Prevention"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363704"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.12691\/ajphr-1-6-2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3307339.3342157"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2019.0228.03"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1117\/12.2318326"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-3521-y"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC.2017.8242445"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104248"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/AiCIS.2018.00020"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s12553-020-00506-6"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09614200.pdf?arnumber=9614200","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T21:53:10Z","timestamp":1646085190000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9614200\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3127862","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}