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All issues Volume 392 (2024) MATEC Web Conf., 392 (2024) 01159 References
Open Access
Issue
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
Article Number 01159
Number of page(s) 12
DOI https://doi.org/10.1051/matecconf/202439201159
Published online 18 March 2024
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  12. T. J. Brinker, A. Hekler, J. S. Utikal, N. Grabe, D. Schadendorf, J. Klode, C. Berking, T. Steeb, A. H. Enk, and C. von Kalle, ‘‘Skin cancer classification using convolutional neural networks: Systematic review,’’ J. Med. Internet Res., vol. 20, no. 10, Oct. 2018, Art. no. e11936. [Google Scholar]
  13. P. Tschandl, C. Rinner, Z. Apalla, G. Argenziano, N. Codella, A. Halpern, M. Janda, A. Lallas, C. Longo, J. Malvehy, J. Paoli, S. Puig, C. Rosendahl, H. Peter Soyer, I. Zalaudek, and H. Kittle, ‘‘Human–computer collaboration for skin cancer recognition,’’ Nature Med. vol. 26, no. 8, pp. 1229–1234, 2020. [CrossRef] [Google Scholar]
  14. B. C. Baumann, K. M. MacArthur, J. D. Brewer, W. M. Mendenhall, C. A. Barker, J. R. Etzkorn, N. J. Jellinek, J. F. Scott, H. A. Gay, J. C. Baumann, F. A. Manian, P. M. Devlin, J. M. Michalski, N. Y. Lee, W. L. Thorstad, L. D. Wilson, C. A. Perez, and C. J. Miller, ‘‘Management of primary skin cancer during a pandemic: Multidisciplinary recommendations,’’ Cancer, vol. 126, no. 17, pp. 3900–3906, Sep. 2020. [CrossRef] [Google Scholar]
  15. J. Höhn et al., ‘‘Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification,’’ Eur. J. Cancer, vol. 149, pp. 94–101, May 2021. [CrossRef] [Google Scholar]

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