{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T19:41:42Z","timestamp":1788550902283,"version":"build-2803163510"},"reference-count":23,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2020-05873"],"award-info":[{"award-number":["RGPIN-2020-05873"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Tissue and Cell"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.tice.2021.101659","type":"journal-article","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T15:26:09Z","timestamp":1632929169000},"page":"101659","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":27,"special_numbering":"C","title":["Detection of malignant melanoma in H&amp;E-stained images using deep learning techniques"],"prefix":"10.1016","volume":"73","author":[{"given":"Salah","family":"Alheejawi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Berendt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naresh","family":"Jha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santi P.","family":"Maity","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0680-5876","authenticated-orcid":false,"given":"Mrinal","family":"Mandal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.tice.2021.101659_bib0005","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.compmedimag.2019.01.006","article-title":"Novel lymph node segmentation and proliferation index measurement for skin melanoma biopsy images","volume":"73","author":"Alheejawi","year":"2019","journal-title":"Comput. Med. Imaging Graph."},{"issue":"4, August","key":"10.1016\/j.tice.2021.101659_bib0010","doi-asserted-by":"crossref","DOI":"10.5121\/csit.2020.100605","article-title":"Melanoma Cell Detection in Lymph Nodes Histopathological Images using Deep Learning","volume":"11","author":"Alheejawi","year":"2020","journal-title":"2020). Signal & Image Process.: An Int. J. (SIPIJ)"},{"key":"10.1016\/j.tice.2021.101659_bib0015","series-title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","author":"Badrinarayanan","year":"2015"},{"issue":"4","key":"10.1016\/j.tice.2021.101659_bib0020","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1002\/path.1061","article-title":"Inter-observer variation in the histopathological diagnosis of clinically suspicious pigmented skin lesions","volume":"196","author":"Brochez","year":"2002","journal-title":"J. Pathol."},{"issue":"August 2015","key":"10.1016\/j.tice.2021.101659_bib0025","first-page":"2738","article-title":"Automated analysis and diagnosis of skin melanoma on whole slide histopathological images","volume":"48","author":"Cheng","year":"2015","journal-title":"Pattern Recogn."},{"issue":"6 December","key":"10.1016\/j.tice.2021.101659_bib0030","first-page":"296","article-title":"A robust automatic nuclei segmentation technique for quantitative histopathological image analysis","volume":"34","author":"Cheng","year":"2012","journal-title":"Anal. Quant. Cytopathol."},{"key":"10.1016\/j.tice.2021.101659_bib0035","first-page":"32.1","article-title":"What is a good evaluation measure for semantic segmentation?","author":"Csurka","year":"2013","journal-title":"Proc. of the British Machine Vision Conference"},{"key":"10.1016\/j.tice.2021.101659_bib0040","first-page":"2650","article-title":"Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture","author":"Eigen","year":"2015","journal-title":"Proceedings of the International Conference on Computer Vision"},{"key":"10.1016\/j.tice.2021.101659_bib0045","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.compmedimag.2018.11.002","article-title":"CNN cascades for segmenting sparse objects in gigapixel whole slide images","volume":"71","author":"Gadermayr","year":"2019","journal-title":"Comput. Med. Imaging Graph."},{"issue":"1","key":"10.1016\/j.tice.2021.101659_bib0050","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/1471-2342-14-7","article-title":"Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin-stained human skin","volume":"14","author":"Haggerty","year":"2014","journal-title":"BMC Med. Imaging"},{"issue":"5","key":"10.1016\/j.tice.2021.101659_bib0055","first-page":"1729","article-title":"An efficient technique for nuclei segmentation based on ellipse descriptor analysis and improved seed detection algorithm","volume":"18","author":"Hongming","year":"2013","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.tice.2021.101659_bib0060","first-page":"448","article-title":"Batch normalization: accelerating deep network training by reducing internal covariate shift","volume":"37","author":"Ioffe","year":"2015","journal-title":"Proceedings of the 32nd International Conference on Machine Learning"},{"key":"10.1016\/j.tice.2021.101659_bib0065","first-page":"770","article-title":"Deep residual learning for image recognition","author":"Kaiming","year":"2016","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA"},{"issue":"2","key":"10.1016\/j.tice.2021.101659_bib0070","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TITB.2012.2199595","article-title":"Automated segmentation of the melanocytes in skin histopathological images","volume":"17","author":"Lu","year":"2013","journal-title":"IEEE J. Biomed. Health Inf."},{"issue":"2, February","key":"10.1016\/j.tice.2021.101659_bib0075","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1016\/j.patcog.2012.07.020","article-title":"Detection of melanocytes in skin histopathological images using radial line scanning","volume":"46","author":"Lu","year":"2013","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.tice.2021.101659_bib0080","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"Nair","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning"},{"issue":"2","key":"10.1016\/j.tice.2021.101659_bib0085","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1080\/09332480.2014.914768","article-title":"Machine learning, a probabilistic perspective","volume":"27","author":"Robert","year":"2014","journal-title":"CHANCE"},{"issue":"S6","key":"10.1016\/j.tice.2021.101659_bib0090","first-page":"S1","article-title":"COST action \u201ceurotelepath\u201d: digital pathology integration in electronic health record, including primary care centres","volume":"6","author":"Rojo","year":"2011","journal-title":"Diagn. Pathol."},{"key":"10.1016\/j.tice.2021.101659_bib0095","first-page":"234","article-title":"U-net: convolutional networks for biomedical image segmentation","volume":"9351","author":"Ronneberger","year":"2015","journal-title":"Med. Image Comput. Comput. Assist. Interv."},{"key":"10.1016\/j.tice.2021.101659_bib0100","doi-asserted-by":"crossref","unstructured":"Patrik Sabol, Peter Sin\u010d\u00e1k, Pitoyo Hartono, Pavel Ko\u010dan, Zuzana Benetinov\u00e1, Al\u017ebeta Blich\u00e1rov\u00e1, \u013dudmila Verb\u00f3ov\u00e1, Erika \u0160tammov\u00e1, Ant\u00f3nia Sabolov\u00e1-Fabianov\u00e1, and Anna Ja\u0161kov\u00e1, \u201cExplainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images\u201d Journal of Biomedical Informatics, Vol. 109.","DOI":"10.1016\/j.jbi.2020.103523"},{"issue":"8","key":"10.1016\/j.tice.2021.101659_bib0105","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1016\/j.humpath.2009.04.006","article-title":"Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future","volume":"40","author":"Weinstein","year":"2009","journal-title":"Hum. Pathol."},{"issue":"3","key":"10.1016\/j.tice.2021.101659_bib0110","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1109\/JBHI.2016.2544245","article-title":"Automatic nuclei detection based on generalized Laplacian of Gaussian filters","volume":"21","author":"Xu","year":"2017","journal-title":"IEEE J. Biomed. Health Inf. (JBHI)"},{"issue":"10 October","key":"10.1016\/j.tice.2021.101659_bib0115","doi-asserted-by":"crossref","first-page":"2475","DOI":"10.1109\/TBME.2017.2649485","article-title":"Automatic nuclear segmentation using multi-scale radial line scanning with dynamic programming","volume":"64","author":"Xu","year":"2017","journal-title":"Accepted for publication by IEEE Trans. Biomed. Eng."}],"container-title":["Tissue and Cell"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0040816621001750?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0040816621001750?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T20:26:03Z","timestamp":1758572763000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0040816621001750"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":23,"alternative-id":["S0040816621001750"],"URL":"https:\/\/doi.org\/10.1016\/j.tice.2021.101659","relation":{},"ISSN":["0040-8166"],"issn-type":[{"value":"0040-8166","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detection of malignant melanoma in H&E-stained images using deep learning techniques","name":"articletitle","label":"Article Title"},{"value":"Tissue and Cell","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.tice.2021.101659","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101659"}}