{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T15:40:24Z","timestamp":1792683624833,"version":"4.5.0"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,8,9]],"date-time":"2025-08-09T00:00:00Z","timestamp":1754697600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejcancer.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Cancer"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.ejca.2025.115706","type":"journal-article","created":{"date-parts":[[2025,8,10]],"date-time":"2025-08-10T21:52:32Z","timestamp":1754862752000},"page":"115706","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Identifying melanoma among benign simulators \u2013 Is there a role for deep learning convolutional neural networks? (MelSim Study)"],"prefix":"10.1016","volume":"227","author":[{"given":"A.S.","family":"Vollmer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.K.","family":"Winkler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.S.","family":"Kommoss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Blum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W.","family":"Stolz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Enk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.A.","family":"Haenssle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.ejca.2025.115706_bib1","doi-asserted-by":"crossref","first-page":"142","DOI":"10.3109\/07853890.2016.1145795","article-title":"Melanoma screening: A plan for improving early detection","volume":"48","author":"Shellenberger","year":"2016","journal-title":"Ann Med."},{"issue":"1","key":"10.1016\/j.ejca.2025.115706_bib2","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.jid.2018.06.187","article-title":"Melanoma Early Detection: Big Data, Bigger Picture","volume":"139","author":"Petrie","year":"2019","journal-title":"J Invest Dermatol"},{"issue":"5","key":"10.1016\/j.ejca.2025.115706_bib3","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1001\/jamadermatol.2023.0127","article-title":"Early Detection and Prognostic Assessment of Cutaneous Melanoma: Consensus on Optimal Practice and the Role of Gene Expression Profile Testing","volume":"159","author":"Kashani-Sabet","year":"2023","journal-title":"JAMA Dermatol"},{"issue":"9","key":"10.1016\/j.ejca.2025.115706_bib4","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1111\/jdv.12236","article-title":"Trends in incidence and predictions of cutaneous melanoma across Europe up to 2015","volume":"28","author":"Arnold","year":"2014","journal-title":"J Eur Acad Dermatol Venereol"},{"key":"10.1016\/j.ejca.2025.115706_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejca.2024.114026","article-title":"Performance of an automated total body mapping algorithm to detect melanocytic lesions of clinical relevance","volume":"202","author":"Winkler","year":"2024","journal-title":"Eur J Cancer"},{"key":"10.1016\/j.ejca.2025.115706_bib6","first-page":"1236","article-title":"\u00dcberdiagnose von Melanomen - Ursachen, Konsequenzen und L\u00f6sungsans\u00e4tze","author":"Kutzner","year":"2020"},{"issue":"6","key":"10.1016\/j.ejca.2025.115706_bib7","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1111\/jdv.16577","article-title":"The value of convolutional neural networks in the diagnosis of melanoma simulators","volume":"34","author":"Heppt","year":"2020","journal-title":"J Eur Acad Dermatol Venereol"},{"issue":"6","key":"10.1016\/j.ejca.2025.115706_bib8","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1111\/jdv.16165","article-title":"Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas","volume":"34","author":"Fink","year":"2020","journal-title":"J Eur Acad Dermatol Venereol"},{"key":"10.1016\/j.ejca.2025.115706_bib9","first-page":"111","article-title":"Differenzierung von kombinierten N\u00e4vi und Melanomen: Fallkontrollstudie mit komparativer Analyse der dermatoskopischen Merkmale","author":"Schweizer","year":"2020"},{"issue":"3","key":"10.1016\/j.ejca.2025.115706_bib10","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S1470-2045(02)00679-4","article-title":"Diagnostic accuracy of dermoscopy","volume":"3","author":"Kittler","year":"2002","journal-title":"Lancet Oncol"},{"issue":"3","key":"10.1016\/j.ejca.2025.115706_bib11","first-page":"669","article-title":"Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting","volume":"159","author":"Vestergaard","year":"2008","journal-title":"Br J Dermatol"},{"issue":"4","key":"10.1016\/j.ejca.2025.115706_bib12","doi-asserted-by":"crossref","first-page":"457","DOI":"10.23736\/S0392-0488.19.06294-1","article-title":"Dermoscopy of Spitz\/Reed naevi and management","volume":"154","author":"Papageorgiou","year":"2019","journal-title":"G Ital Dermatol Venereol"},{"issue":"8","key":"10.1016\/j.ejca.2025.115706_bib13","doi-asserted-by":"crossref","first-page":"1836","DOI":"10.1093\/annonc\/mdy166","article-title":"Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists","volume":"29","author":"Haenssle","year":"2018","journal-title":"Ann Oncol"},{"key":"10.1016\/j.ejca.2025.115706_bib14","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.ejca.2020.11.034","article-title":"Skin lesions of face and scalp - Classification by a market-approved convolutional neural network in comparison with 64 dermatologists","volume":"144","author":"Haenssle","year":"2021","journal-title":"Eur J Cancer"},{"key":"10.1016\/j.ejca.2025.115706_bib15","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ejca.2019.11.020","article-title":"Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations","volume":"127","author":"Winkler","year":"2020","journal-title":"Eur J Cancer"},{"key":"10.1016\/j.ejca.2025.115706_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejca.2024.114297","article-title":"Computerizing the first step of the two-step algorithm in dermoscopy: A convolutional neural network for differentiating melanocytic from non-melanocytic skin lesions","volume":"210","author":"Winkler","year":"2024","journal-title":"Eur J Cancer"},{"issue":"1","key":"10.1016\/j.ejca.2025.115706_bib17","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1038\/s43856-024-00598-5","article-title":"Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient care","volume":"4","author":"Heinlein","year":"2024","journal-title":"Commun Med (Lond)."},{"issue":"6","key":"10.1016\/j.ejca.2025.115706_bib18","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1001\/jamadermatol.2023.0905","article-title":"Assessment of Diagnostic Performance of Dermatologists Cooperating With a Convolutional Neural Network in a Prospective Clinical Study: Human With Machine","volume":"159","author":"Winkler","year":"2023","journal-title":"JAMA Dermatol"},{"issue":"9","key":"10.1016\/j.ejca.2025.115706_bib19","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1111\/j.0303-6987.2004.00237.x","article-title":"Dermoscopic features of combined melanocytic nevi","volume":"31","author":"de Giorgi","year":"2004","journal-title":"J Cutan Pathol"},{"issue":"5","key":"10.1016\/j.ejca.2025.115706_bib20","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1080\/00313020412331283879","article-title":"Combined naevus: a benign lesion frequently misdiagnosed both clinically and pathologically as melanoma","volume":"36","author":"Scolyer","year":"2004","journal-title":"Pathology"},{"issue":"3","key":"10.1016\/j.ejca.2025.115706_bib21","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1159\/000326109","article-title":"Natural evolution of Spitz nevi","volume":"222","author":"Argenziano","year":"2011","journal-title":"Dermatology"},{"issue":"7","key":"10.1016\/j.ejca.2025.115706_bib22","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1111\/j.1600-0560.2006.00650.x","article-title":"The many faces of blue nevus: a clinicopathologic study","volume":"34","author":"Ferrara","year":"2007","journal-title":"J Cutan Pathol"},{"issue":"2","key":"10.1016\/j.ejca.2025.115706_bib23","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1001\/jamadermatol.2013.6908","article-title":"Recurrent melanocytic nevi and melanomas in dermoscopy: results of a multicenter study of the International Dermoscopy Society","volume":"150","author":"Blum","year":"2014","journal-title":"JAMA Dermatol"},{"issue":"12","key":"10.1016\/j.ejca.2025.115706_bib24","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1001\/archderm.142.12.1627","article-title":"Dermoscopy patterns of halo nevi","volume":"142","author":"Kolm","year":"2006","journal-title":"Arch Dermatol"},{"issue":"6","key":"10.1016\/j.ejca.2025.115706_bib25","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1111\/exd.14533","article-title":"Unusual dermoscopic patterns of basal cell carcinoma mimicking melanoma","volume":"31","author":"Di Matteo","year":"2022","journal-title":"Exp Dermatol"},{"issue":"6","key":"10.1016\/j.ejca.2025.115706_bib26","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1001\/jamadermatol.2017.0129","article-title":"Dermoscopic Clues for Diagnosing Melanomas That Resemble Seborrheic Keratosis","volume":"153","author":"Carrera","year":"2017","journal-title":"JAMA Dermatol"},{"issue":"4","key":"10.1016\/j.ejca.2025.115706_bib27","first-page":"373","article-title":"World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects","volume":"79","author":"World Medical Association","year":"2001","journal-title":"Bull World Health Organ"},{"issue":"6","key":"10.1016\/j.ejca.2025.115706_bib28","first-page":"842","article-title":"Dark corner artefact and diagnostic performance of a market-approved neural network for skin cancer classification","volume":"19","author":"Sies","year":"2021","journal-title":"J Dtsch Dermatol Ges."},{"key":"10.1016\/j.ejca.2025.115706_bib29","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1186\/1471-2105-9-265","article-title":"StAR: a simple tool for the statistical comparison of ROC curves","volume":"9","author":"Vergara","year":"2008","journal-title":"BMC Bioinformatics"},{"issue":"7","key":"10.1016\/j.ejca.2025.115706_bib30","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1016\/S1470-2045(19)30333-X","article-title":"Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study","volume":"20","author":"Tschandl","year":"2019","journal-title":"Lancet Oncol"},{"issue":"5-6","key":"10.1016\/j.ejca.2025.115706_bib31","first-page":"793","article-title":"Validation of a Dermatoscopy-Based Algorithm for the Diagnosis of Acral Melanoma","volume":"240","author":"M\u00fcller","year":"2024","journal-title":"Dermatology"},{"issue":"11","key":"10.1016\/j.ejca.2025.115706_bib32","doi-asserted-by":"crossref","first-page":"2002","DOI":"10.1111\/jdv.18436","article-title":"Assessment of melanoma thickness based on dermoscopy images: an open, web-based, international, diagnostic study","volume":"36","author":"Polesie","year":"2022","journal-title":"J Eur Acad Dermatol Venereol"},{"key":"10.1016\/j.ejca.2025.115706_bib33","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.nbt.2023.04.006","article-title":"Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation","volume":"76","author":"Fogelberg","year":"2023","journal-title":"N Biotechnol"},{"issue":"11","key":"10.1016\/j.ejca.2025.115706_bib34","doi-asserted-by":"crossref","first-page":"1362","DOI":"10.1001\/jamadermatol.2021.3129","article-title":"Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review","volume":"157","author":"Daneshjou","year":"2021","journal-title":"JAMA Dermatol"},{"issue":"11","key":"10.1016\/j.ejca.2025.115706_bib35","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1001\/jamadermatol.2021.3128","article-title":"Risk of Bias and Error From Data Sets Used for Dermatologic Artificial Intelligence","volume":"157","author":"Tschandl","year":"2021","journal-title":"JAMA Dermatol"},{"issue":"17","key":"10.1016\/j.ejca.2025.115706_bib36","doi-asserted-by":"crossref","first-page":"4228","DOI":"10.3390\/cancers15174228","article-title":"Adversarial Attacks on Medical Image Classification","volume":"15","author":"Tsai","year":"2023","journal-title":"Cancers (Basel)."},{"issue":"1","key":"10.1016\/j.ejca.2025.115706_bib37","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s12880-020-00530-y","article-title":"Universal adversarial attacks on deep neural networks for medical image classification","volume":"21","author":"Hirano","year":"2021","journal-title":"BMC Med Imaging"},{"key":"10.1016\/j.ejca.2025.115706_bib38","doi-asserted-by":"crossref","first-page":"1877","DOI":"10.3390\/diagnostics14171877","article-title":"Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification","author":"Laletin","year":"2024","journal-title":"Diagnostics"},{"issue":"11","key":"10.1016\/j.ejca.2025.115706_bib39","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1111\/jdv.12316","article-title":"Dermoscopic nevus patterns in skin of colour: a prospective, cross-sectional, morphological study in individuals with skin type V and VI","volume":"28","author":"Lallas","year":"2014","journal-title":"J Eur Acad Dermatol Venereol"}],"container-title":["European Journal of Cancer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0959804925004885?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0959804925004885?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T09:49:52Z","timestamp":1772876992000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0959804925004885"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":39,"alternative-id":["S0959804925004885"],"URL":"https:\/\/doi.org\/10.1016\/j.ejca.2025.115706","relation":{},"ISSN":["0959-8049"],"issn-type":[{"value":"0959-8049","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Identifying melanoma among benign simulators \u2013 Is there a role for deep learning convolutional neural networks? (MelSim Study)","name":"articletitle","label":"Article Title"},{"value":"European Journal of Cancer","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejca.2025.115706","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"115706"}}