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This study aims to provide an overview of the significant role of medical images in skin cancer detection and highlight developments in the use of deep learning for early diagnosis. The scope of this survey includes an in-depth exploration of state-of-the-art deep learning methods, an evaluation of public datasets commonly used for training and validation, and a bibliometric analysis of recent advancements in the field. This survey focuses on publications in the Scopus database from 2019 to 2024. The search string is used to find articles by their abstracts, titles, and keywords, and includes several public datasets, like HAM and ISIC, ensuring relevance to the topic. Filters are applied based on the year, document type, source type, and language. The analysis identified 1697 articles, predominantly comprising journal articles and conference proceedings. The analysis shows that the number of articles has increased over the past five years. This growth is driven not only by developed countries but also by developing countries. Dermatology departments in various hospitals play a significant role in advancing skin cancer detection methods. In addition to identifying publication trends, this study also reveals underexplored areas to encourage new explorations using the VOSviewer and Bibliometrix applications.<\/jats:p>","DOI":"10.3390\/computation13030078","type":"journal-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T07:48:37Z","timestamp":1742370517000},"page":"78","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Bibliometric Review of Deep Learning Approaches in Skin Cancer Research"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8682-9295","authenticated-orcid":false,"given":"Catur","family":"Supriyanto","sequence":"first","affiliation":[{"name":"Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang 50131, Indonesia"},{"name":"Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang 50131, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4603-7330","authenticated-orcid":false,"given":"Abu","family":"Salam","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang 50131, Indonesia"},{"name":"Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang 50131, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5009-666X","authenticated-orcid":false,"given":"Junta","family":"Zeniarja","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang 50131, Indonesia"},{"name":"Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang 50131, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7758-951X","authenticated-orcid":false,"given":"Danang Wahyu","family":"Utomo","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang 50131, Indonesia"},{"name":"Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang 50131, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5551-379X","authenticated-orcid":false,"given":"Ika Novita","family":"Dewi","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang 50131, Indonesia"},{"name":"Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang 50131, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7321-0541","authenticated-orcid":false,"given":"Cinantya","family":"Paramita","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang 50131, Indonesia"},{"name":"Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang 50131, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5339-0231","authenticated-orcid":false,"given":"Adi","family":"Wijaya","sequence":"additional","affiliation":[{"name":"Department of Health Information Management, Universitas Indonesia Maju, Jakarta 12610, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8927-2413","authenticated-orcid":false,"given":"Noor Zuraidin Mohd","family":"Safar","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat 86400, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1002\/mp.17558","article-title":"Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi-supervised method with difference-guided consistency","volume":"52","author":"Zhang","year":"2025","journal-title":"Med. 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