{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:27:17Z","timestamp":1774538837659,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["21365008"],"award-info":[{"award-number":["21365008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61462018"],"award-info":[{"award-number":["61462018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61762026"],"award-info":[{"award-number":["61762026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61562013"],"award-info":[{"award-number":["61562013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61866009"],"award-info":[{"award-number":["61866009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Guangxi Province","award":["AB16380293"],"award-info":[{"award-number":["AB16380293"]}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2017GXNSFDA198025"],"award-info":[{"award-number":["2017GXNSFDA198025"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2017GXNSFAA198278"],"award-info":[{"award-number":["2017GXNSFAA198278"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2934486","type":"journal-article","created":{"date-parts":[[2019,8,12]],"date-time":"2019-08-12T20:15:15Z","timestamp":1565640915000},"page":"110674-110686","source":"Crossref","is-referenced-by-count":41,"title":["An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2581-0520","authenticated-orcid":false,"given":"Xipeng","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9402-0421","authenticated-orcid":false,"given":"Lingqiao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dengxian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yubei","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenbing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huihua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451495"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2016.2515127"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2481436"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2430895"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2458702"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_46"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2013.2295804"},{"key":"ref36","first-page":"1160","article-title":"Mitosis detection in breast cancer histology images via deep cascaded networks","author":"chen","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.1.3.034003"},{"key":"ref34","first-page":"411","article-title":"Mitosis detection in breast cancer histology images with deep neural networks","author":"cire?an","year":"2013","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent (MICCAI)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.010"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"ref12","article-title":"SegNet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling","author":"badrinarayanan","year":"2015","journal-title":"arXiv 1505 07293"},{"key":"ref13","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"ArXiv 1606 02147"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref15","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"arXiv 1505 04597"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_34"},{"key":"ref17","article-title":"ESPNetv2: A light-weight, power efficient, and general purpose convolutional neural network","author":"mehta","year":"2018","journal-title":"arXiv 1811 11431"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_25"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_99"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1109\/TIP.2015.2389619","article-title":"An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells","volume":"24","author":"lu","year":"2015","journal-title":"IEEE Trans Image Process"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2015.10.005"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2190089"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2361481"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000170"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_45"},{"key":"ref5","first-page":"155","article-title":"Digital image analysis in breast cancer: An example of an automated methodology and the effects of image compression","volume":"179","author":"l\u00f3pez","year":"2012","journal-title":"Stud Health Technol Inform"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0142830"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.02.009"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.06.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-297"},{"key":"ref1","first-page":"15","article-title":"State of the art and trends for digital pathology","volume":"179","author":"garc\u00eda-gojo","year":"2012","journal-title":"Stud Health Technol Inform"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.08.103"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CCPR.2010.5659313"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2008.2007098"},{"key":"ref47","article-title":"A deep learning algorithm for one-step contour aware nuclei segmentation of histopathological images","author":"cui","year":"2018","journal-title":"arXiv 1803 02786"},{"key":"ref21","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2677499"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0070221"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00034"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2006.870201"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.11.010"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950669"},{"key":"ref25","first-page":"296","article-title":"A robust automatic nuclei segmentation technique for quantitative histopathological image analysis","volume":"34","author":"lu","year":"2012","journal-title":"Anal Quant Cytol Histology"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08794571.pdf?arnumber=8794571","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:32:37Z","timestamp":1641987157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8794571\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2934486","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}