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
  1. D. Didona, G. Paolino, U. Bottoni, and C. Cantisani, ‘‘Non melanoma skin cancer pathogenesis overview,’’ Biomedicines, vol. 6, no. 1, p. 6, Jan. 2018. [CrossRef] [Google Scholar]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. C. A. Hartanto and A. Wibowo, ‘‘Development of mobile skin cancer detection using faster R-CNN and MobileNet v2 model,’’ in Proc. 7th Int. Conf. Inf. Technol., Comput., Electr. Eng. (ICITACEE), Sep. 2020, pp. 58–63. [Google Scholar]
  7. M. A. Kassem, K. M. Hosny, R. Damaševičius, and M. M. Eltoukhy, ‘‘Machine learning and DL methods for skin lesion classification and diagnosis: A systematic review,’’ Diagnostics, vol. 11, no. 8, p. 1390, Jul. 2021. [CrossRef] [Google Scholar]
  8. O. O. Abayomi-Alli, R. Damaševičius, S. Misra, R. Maskeliunas, and A. Abayomi-Alli, ‘‘Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold,’’ TURKISH J. Electr. Eng. Comput. Sci., vol. 29, nos. SI–1, pp. 2600–2614, Oct. 2021. [CrossRef] [Google Scholar]
  9. T. C. Pham, V. D. Hoang, C. T. Tran, M. S. K. Luu, D. A. Mai, A. Doucet, and C. M. Luong, ‘‘Improving binary skin cancer classification based on best model selection method combined with optimizing full connected layers of deep CNN,’’ in Proc. Int. Conf. Multimedia Anal. Pattern Recognit. (MAPR), Oct. 2020, pp. 1–6. [Google Scholar]
  10. N. Hameed, A. Ruskin, K. Abu Hassan, and M. A. Hossain, ‘‘A comprehensive survey on image-based computer aided diagnosis systems for skin cancer,’’ in Proc. 10th Int. Conf. Softw., Knowl., Inf. Manage. Appl. (SKIMA), 2016, pp. 205–214. [Google Scholar]
  11. D. Didona, G. Paolino, U. Bottoni, and C. Cantisani, ‘‘Non melanoma skin cancer pathogenesis overview,’’ Biomedicines, vol. 6, no. 1, p. 6, Jan. 2018. [CrossRef] [Google Scholar]
  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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