{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T02:21:47Z","timestamp":1768875707876,"version":"3.49.0"},"update-to":[{"DOI":"10.1016\/j.compmedimag.2020.101779","type":"removal","label":"Removal","source":"publisher","updated":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000}}],"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computerized Medical Imaging and Graphics"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1016\/j.compmedimag.2020.101779","type":"journal-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T04:43:29Z","timestamp":1598417009000},"page":"101779","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["REMOVED: VitSeg: Weakly supervised vitiligo segmentation in skin image"],"prefix":"10.1016","volume":"85","author":[{"given":"Zhangxing","family":"Bian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.compmedimag.2020.101779_bib0005","doi-asserted-by":"crossref","first-page":"e490","DOI":"10.1111\/j.1600-0846.2012.00670.x","article-title":"A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images","volume":"19","author":"Abbas","year":"2013","journal-title":"Skin Res. Technol."},{"issue":"11","key":"10.1016\/j.compmedimag.2020.101779_bib0010","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","article-title":"SLIC superpixels compared to state-of-the-art superpixel methods","volume":"34","author":"Achanta","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.compmedimag.2020.101779_bib0015","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-59413-5","article-title":"An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy","volume":"10","author":"Ali","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0020","first-page":"328","article-title":"Multiscale combinatorial grouping","author":"Arbel\u00e1ez","year":"2014","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"issue":"1","key":"10.1016\/j.compmedimag.2020.101779_bib0025","first-page":"30","article-title":"A practical method for the estimation of vitiligo surface area: a comparison between the point counting and digital planimetry techniques","volume":"17","author":"Aydin","year":"2007","journal-title":"Eur. J. Dermatol."},{"issue":"12","key":"10.1016\/j.compmedimag.2020.101779_bib0030","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","article-title":"Segnet: a deep convolutional encoder-decoder architecture for image segmentation","volume":"39","author":"Badrinarayanan","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.compmedimag.2020.101779_bib0035","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.amc.2009.04.081","article-title":"An automatic based nonlinear diffusion equations scheme for skin lesion segmentation","volume":"215","author":"Barcelos","year":"2009","journal-title":"Appl. Math. Comput."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0040","first-page":"549","article-title":"What's the point: semantic segmentation with point supervision","author":"Bearman","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0045","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1109\/BIBM47256.2019.8983145","article-title":"Weakly supervised vitiligo segmentation in skin image through saliency propagation","author":"Bian","year":"2019","journal-title":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0050","doi-asserted-by":"crossref","DOI":"10.1155\/2012\/578721","article-title":"Wavelet transform fuzzy algorithms for dermoscopic image segmentation","author":"Castillejos","year":"2012","journal-title":"Computational and Mathematical Methods in Medicine, vol. 2012"},{"issue":"3","key":"10.1016\/j.compmedimag.2020.101779_bib0055","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1016\/j.cmpb.2013.08.010","article-title":"A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images","volume":"112","author":"Cavalcanti","year":"2013","journal-title":"Comput. Methods Prog. Biomed."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0060","series-title":"Rethinking Atrous Convolution for Semantic Image Segmentation","author":"Chen","year":"2017"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0065","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1109\/ISBI.2018.8363547","article-title":"Skin lesion analysis toward melanoma detection: a challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)","author":"Codella","year":"2018","journal-title":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0070","first-page":"1635","article-title":"Boxsup: exploiting bounding boxes to supervise convolutional networks for semantic segmentation","author":"Dai","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0075","first-page":"2700","article-title":"KL divergence based agglomerative clustering for automated vitiligo grading","author":"Das Gupta","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"issue":"2","key":"10.1016\/j.compmedimag.2020.101779_bib0080","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1109\/TLA.2011.5765575","article-title":"Skan: skin scanner-system for skin cancer detection using adaptive techniques","volume":"9","author":"de Souza Ganzeli","year":"2011","journal-title":"IEEE Latin Am. Trans."},{"issue":"4","key":"10.1016\/j.compmedimag.2020.101779_bib0085","first-page":"81","article-title":"Vitiligo Extent Tensity Index (VETI) score: a new definition, assessment and treatment evaluation criteria in vitiligo","volume":"4","author":"Feily","year":"2014","journal-title":"Dermatol. Pract. Concept."},{"issue":"5","key":"10.1016\/j.compmedimag.2020.101779_bib0090","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1111\/j.1365-2133.2008.08881.x","article-title":"Guideline for the diagnosis and management of vitiligo","volume":"159","author":"Gawkrodger","year":"2008","journal-title":"Br. J. Dermatol."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0095","first-page":"2531","article-title":"Saliency propagation from simple to difficult","author":"Gong","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0100","series-title":"Adam: A Method for Stochastic Optimization","author":"Kingma","year":"2014"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0105","series-title":"Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation","author":"Kolesnikov","year":"2016"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0110","first-page":"3630","article-title":"Saliency guided dictionary learning for weakly-supervised image parsing","author":"Lai","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0115","first-page":"3159","article-title":"Scribblesup: scribble-supervised convolutional networks for semantic segmentation","author":"Lin","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0120","first-page":"3431","article-title":"Fully convolutional networks for semantic segmentation","author":"Long","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0125","doi-asserted-by":"crossref","first-page":"5437","DOI":"10.1109\/EMBC.2013.6610779","article-title":"PH2 \u2013 a dermoscopic image database for research and benchmarking","author":"Mendon\u00e7a","year":"2013","journal-title":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)"},{"issue":"1","key":"10.1016\/j.compmedimag.2020.101779_bib0130","doi-asserted-by":"crossref","first-page":"e72","DOI":"10.1111\/j.1600-0846.2011.00610.x","article-title":"Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas","volume":"19","author":"Nugroho","year":"2013","journal-title":"Skin Res. Technol."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0135","first-page":"323","article-title":"A computer-aided diagnosis system for vitiligo assessment: a segmentation algorithm","author":"Nurhudatiana","year":"2015","journal-title":"International Conference on Soft Computing, Intelligence Systems, and Information Technology"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0140","first-page":"1742","article-title":"Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation","author":"Papandreou","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0145","first-page":"234","article-title":"U-net: convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0150","first-page":"206","article-title":"A benchmark for automatic visual classification of clinical skin disease images","author":"Sun","year":"2016","journal-title":"European Conference on Computer Vision"},{"issue":"1","key":"10.1016\/j.compmedimag.2020.101779_bib0155","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1111\/j.1600-0749.2006.00355.x","article-title":"The definition and assessment of vitiligo: a consensus report of the Vitiligo European Task Force","volume":"20","author":"Taieb","year":"2007","journal-title":"Pigment Cell Res."},{"issue":"10","key":"10.1016\/j.compmedimag.2020.101779_bib0160","doi-asserted-by":"crossref","first-page":"2533","DOI":"10.1038\/jid.2015.178","article-title":"Evaluation of repigmentation with cultured melanocyte transplantation (CMT) compared with non-cultured epidermal cell transplantation in vitiligo at 12th week reveals better repigmentation with CMT","volume":"135","author":"Verma","year":"2015","journal-title":"J. Investig. Dermatol."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0165","series-title":"labelme: Image Polygonal Annotation with Python","author":"Wada","year":"2016"},{"issue":"6","key":"10.1016\/j.compmedimag.2020.101779_bib0170","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1109\/TITB.2011.2157829","article-title":"Automatic skin lesion segmentation via iterative stochastic region merging","volume":"15","author":"Wong","year":"2011","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"10.1016\/j.compmedimag.2020.101779_bib0175","first-page":"418","article-title":"Unified perceptual parsing for scene understanding","author":"Xiao","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0180","first-page":"2718","article-title":"Weakly supervised semantic segmentation for social images","author":"Zhang","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0185","first-page":"2881","article-title":"Pyramid scene parsing network","author":"Zhao","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compmedimag.2020.101779_bib0190","series-title":"Weakly Supervised Instance Segmentation Using Class Peak Response","author":"Zhou","year":"2018"}],"updated-by":[{"DOI":"10.1016\/j.compmedimag.2021.101954","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T00:00:00Z","timestamp":1625011200000},"record-id":"30962"},{"DOI":"10.1016\/j.compmedimag.2020.101779","type":"removal","label":"Removal","source":"publisher","updated":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000}},{"DOI":"10.1016\/j.compmedimag.2021.101954","type":"removal","label":"Removal","source":"publisher","updated":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000}}],"container-title":["Computerized Medical Imaging and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611120300781?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611120300781?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T05:29:27Z","timestamp":1760246967000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895611120300781"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":38,"alternative-id":["S0895611120300781"],"URL":"https:\/\/doi.org\/10.1016\/j.compmedimag.2020.101779","relation":{},"ISSN":["0895-6111"],"issn-type":[{"value":"0895-6111","type":"print"}],"subject":[],"published":{"date-parts":[[2020,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"REMOVED: VitSeg: Weakly supervised vitiligo segmentation in skin image","name":"articletitle","label":"Article Title"},{"value":"Computerized Medical Imaging and Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compmedimag.2020.101779","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101779"}}