{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:09:31Z","timestamp":1775578171677,"version":"3.50.1"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01EB004640"],"award-info":[{"award-number":["R01EB004640"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61427806"],"award-info":[{"award-number":["61427806"]}],"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":["81501545"],"award-info":[{"award-number":["81501545"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2014M552230"],"award-info":[{"award-number":["2014M552230"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.jp","medicalimagingandgraphics.com","clinicalkey.com","clinicalkey.es","clinicalkey.com.au","clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computerized Medical Imaging and Graphics"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1016\/j.compmedimag.2017.01.002","type":"journal-article","created":{"date-parts":[[2017,1,31]],"date-time":"2017-01-31T18:16:21Z","timestamp":1485886581000},"page":"38-48","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":48,"special_numbering":"C","title":["Graph-based segmentation of abnormal nuclei in cervical cytology"],"prefix":"10.1016","volume":"56","author":[{"given":"Ling","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoxiong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianfu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siping","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milan","family":"Sonka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.compmedimag.2017.01.002_bib0005","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1002\/cyto.a.20162","article-title":"Whole cell segmentation in solid tissue sections","volume":"67","author":"Baggett","year":"2005","journal-title":"Cytometry A"},{"issue":"2","key":"10.1016\/j.compmedimag.2017.01.002_bib0010","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/S0165-1684(98)00145-5","article-title":"Unsupervised cell nucleus segmentation with active contours","volume":"71","author":"Bamford","year":"1998","journal-title":"Signal Process."},{"issue":"6","key":"10.1016\/j.compmedimag.2017.01.002_bib0015","doi-asserted-by":"crossref","first-page":"2948","DOI":"10.1118\/1.4948679","article-title":"Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: a just-enough-interaction approach","volume":"43","author":"Beichel","year":"2016","journal-title":"Med. Phys."},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2014\/842037","article-title":"Screening for cervical cancer using automated analysis of pap-smears","volume":"2014","author":"Bengtsson","year":"2014","journal-title":"Comput. Math. Methods Med."},{"issue":"3","key":"10.1016\/j.compmedimag.2017.01.002_bib0025","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1016\/j.cmpb.2011.09.017","article-title":"Segmentation of cervical cell nuclei in high-resolution microscopic images: a new algorithm and a web-based software framework","volume":"107","author":"Bergmeir","year":"2012","journal-title":"Comput. Methods Progr. Biomed."},{"issue":"5","key":"10.1016\/j.compmedimag.2017.01.002_bib0030","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/S0046-8177(96)90090-8","article-title":"Automated screening of cervical cytology specimens","volume":"27","author":"Birdsong","year":"1996","journal-title":"Hum. Pathol."},{"issue":"2","key":"10.1016\/j.compmedimag.2017.01.002_bib0035","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1309\/AGB1MJ9H5N43MEGX","article-title":"Assisted primary screening using the automated ThinPrep imaging system","volume":"123","author":"Biscotti","year":"2005","journal-title":"Am. J. Clin. Pathol."},{"issue":"6","key":"10.1016\/j.compmedimag.2017.01.002_bib0040","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1109\/42.544503","article-title":"Deformable boundary finding in medical images by integrating gradient and region information","volume":"15","author":"Chakraborty","year":"1996","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.compmedimag.2017.01.002_bib0045","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/83.902291","article-title":"Active contours without edges","volume":"10","author":"Chan","year":"2001","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0050","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/NANOMED.2009.5559114","article-title":"Automatic segmentation of abnormal cell nuclei from microscopic image analysis for cervical cancer screening","author":"Chang","year":"2009","journal-title":"IEEE International Conference on Nano\/Molecular Medicine and Engineering (NANOMED)"},{"issue":"4","key":"10.1016\/j.compmedimag.2017.01.002_bib0055","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1109\/TMI.2012.2231420","article-title":"Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association","volume":"32","author":"Chang","year":"2013","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.compmedimag.2017.01.002_bib0060","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.cmpb.2013.12.012","article-title":"Automatic cervical cell segmentation and classification in pap smears","volume":"113","author":"Chankong","year":"2014","journal-title":"Comput. Methods Progr. Biomed."},{"issue":"5","key":"10.1016\/j.compmedimag.2017.01.002_bib0065","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1364\/BOE.3.001127","article-title":"Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programming","volume":"3","author":"Chiu","year":"2012","journal-title":"Biomed. Opt. Express"},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0070","series-title":"Theoretical Statistics","author":"Cox","year":"1979"},{"issue":"4","key":"10.1016\/j.compmedimag.2017.01.002_bib0075","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.2010.135","article-title":"Dynamic programming and graph algorithms in computer vision","volume":"33","author":"Felzenszwalb","year":"2011","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.compmedimag.2017.01.002_bib0080","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1109\/TMI.2013.2296572","article-title":"A novel polar space random field model for the detection of glandular structures","volume":"33","author":"Fu","year":"2014","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"12","key":"10.1016\/j.compmedimag.2017.01.002_bib0085","doi-asserted-by":"crossref","first-page":"4151","DOI":"10.1016\/j.patcog.2012.05.006","article-title":"Unsupervised segmentation and classification of cervical cell images","volume":"45","author":"Gen\u00e7tav","year":"2012","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.compmedimag.2017.01.002_bib0090","doi-asserted-by":"crossref","DOI":"10.1109\/JBHI.2014.2346239","article-title":"Accurate segmentation of partially overlapping cervical cells based on dynamic sparse contour searching and GVF snake model","volume":"19","author":"Guan","year":"2014","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0095","first-page":"1","article-title":"Pap-smear benchmark data for pattern classification","author":"Jantzen","year":"2005","journal-title":"Nature inspired Smart Information Systems (NiSIS 2005)"},{"issue":"1","key":"10.1016\/j.compmedimag.2017.01.002_bib0100","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/S1470-2045(10)70264-3","article-title":"Automation-assisted versus manual reading of cervical cytology (MAVARIC): a randomised controlled trial","volume":"12","author":"Kitchener","year":"2011","journal-title":"Lancet Oncol."},{"issue":"6","key":"10.1016\/j.compmedimag.2017.01.002_bib0105","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1109\/TSMCB.2012.2228639","article-title":"A generalized Laplacian of Gaussian filter for blob detection and its applications","volume":"43","author":"Kong","year":"2013","journal-title":"IEEE Trans. Cybernet."},{"issue":"1","key":"10.1016\/j.compmedimag.2017.01.002_bib0110","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1109\/TPAMI.2006.19","article-title":"Optimal surface segmentation in volumetric images \u2013 a graph-theoretic approach","volume":"28","author":"Li","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.compmedimag.2017.01.002_bib0115","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1016\/j.patcog.2011.09.018","article-title":"Cytoplasm and nucleus segmentation in cervical smear images using radiating GVF snake","volume":"45","author":"Li","year":"2012","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.compmedimag.2017.01.002_bib0120","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."},{"issue":"1","key":"10.1016\/j.compmedimag.2017.01.002_bib0125","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.compbiomed.2008.11.006","article-title":"Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification","volume":"39","author":"Marinakis","year":"2009","journal-title":"Comput. Biol. Med."},{"issue":"8476","key":"10.1016\/j.compmedimag.2017.01.002_bib0130","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/S0140-6736(86)90837-8","article-title":"Statistical methods for assessing agreement between two methods of clinical measurement","volume":"327","author":"Martin Bland","year":"1986","journal-title":"Lancet"},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0135","series-title":"Image Analysis and Recognition","first-page":"483-490","article-title":"Cervical cell classification based exclusively on nucleus features","author":"Plissiti","year":"2012"},{"issue":"11","key":"10.1016\/j.compmedimag.2017.01.002_bib0140","doi-asserted-by":"crossref","first-page":"4568","DOI":"10.1109\/TIP.2012.2206041","article-title":"Overlapping cell nuclei segmentation using a spatially adaptive active physical model","volume":"21","author":"Plissiti","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0145","series-title":"Biomedical Imaging and Computational Modeling in Biomechanics","first-page":"1","article-title":"A review of automated techniques for cervical cell image analysis and classification","author":"Plissiti","year":"2013"},{"issue":"2","key":"10.1016\/j.compmedimag.2017.01.002_bib0150","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1109\/TITB.2010.2087030","article-title":"Automated detection of cell nuclei in pap smear images using morphological reconstruction and clustering","volume":"15","author":"Plissiti","year":"2011","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"issue":"8","key":"10.1016\/j.compmedimag.2017.01.002_bib0155","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.1109\/TMI.2010.2048253","article-title":"Cell nuclei and cytoplasm joint segmentation using the sliding band filter","volume":"29","author":"Quelhas","year":"2010","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0160","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2016.2572683","article-title":"Fully convolutional networks for semantic segmentation","author":"Shelhamer","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0165","series-title":"The Bethesda System for reporting cervical cytology: definitions, criteria, and explanatory notes","author":"Solomon","year":"2004"},{"issue":"10","key":"10.1016\/j.compmedimag.2017.01.002_bib0170","doi-asserted-by":"crossref","first-page":"2421","DOI":"10.1109\/TBME.2015.2430895","article-title":"Accurate segmentation of cervical cytoplasm and nuclei based on multi-scale convolutional network and graph partitioning","volume":"62","author":"Song","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.compmedimag.2017.01.002_bib0175","series-title":"Image Processing, Analysis, and Machine Vision","author":"Sonka","year":"2014"},{"issue":"5","key":"10.1016\/j.compmedimag.2017.01.002_bib0180","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1309\/AJCP8VE7AWBZCVQT","article-title":"The Becton Dickinson FocalPoint GS imaging system clinical trials demonstrate significantly improved sensitivity for the detection of important cervical lesions","volume":"132","author":"Wilbur","year":"2009","journal-title":"Am. J. Clin. Pathol."},{"issue":"8","key":"10.1016\/j.compmedimag.2017.01.002_bib0185","doi-asserted-by":"crossref","first-page":"5015","DOI":"10.1118\/1.4736415","article-title":"Intelligent scanning: automated standard plane selection and biometric measurement of early gestational sac in routine ultrasound examination","volume":"39","author":"Zhang","year":"2012","journal-title":"Med. Phys."},{"issue":"3","key":"10.1016\/j.compmedimag.2017.01.002_bib0190","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1002\/cyto.a.22407","article-title":"Automation-assisted cervical cancer screening in manual liquid-based cytology with hematoxylin and eosin staining","volume":"85","author":"Zhang","year":"2014","journal-title":"Cytometry A"},{"issue":"5","key":"10.1016\/j.compmedimag.2017.01.002_bib0195","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.compmedimag.2014.02.001","article-title":"Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts","volume":"38","author":"Zhang","year":"2014","journal-title":"Comput. Med. Imaging Graph."},{"issue":"9","key":"10.1016\/j.compmedimag.2017.01.002_bib0200","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1038\/nrc1430","article-title":"Nuclear structure in cancer cells","volume":"4","author":"Zink","year":"2004","journal-title":"Nat. Rev. Cancer"}],"container-title":["Computerized Medical Imaging and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611117300022?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611117300022?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T04:14:50Z","timestamp":1568780090000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895611117300022"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":40,"alternative-id":["S0895611117300022"],"URL":"https:\/\/doi.org\/10.1016\/j.compmedimag.2017.01.002","relation":{},"ISSN":["0895-6111"],"issn-type":[{"value":"0895-6111","type":"print"}],"subject":[],"published":{"date-parts":[[2017,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Graph-based segmentation of abnormal nuclei in cervical cytology","name":"articletitle","label":"Article Title"},{"value":"Computerized Medical Imaging and Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compmedimag.2017.01.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}