Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification-Reference-Cited by-同舟云学术

Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification

Published:2023 Issue: Volume: Page:514-528
ISSN:0302-9743
Container-title:Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges
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Author:

Di Biasi Luigi^ORCID,De Marco Fabiola^ORCID,Auriemma Citarella Alessia^ORCID,Barra Paola^ORCID,Piotto Piotto Stefano^ORCID,Tortora Genoveffa^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-37660-3_36

Reference22 articles.

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2. Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC). http://arxiv.org/abs/1605.01397

3. Duncan, L.M., et al.: Melastatin expression and prognosis in cutaneous malignant melanoma. J. Clin. Oncol. 19(2), 568–576 (2001)

4. Rastrelli, M., et al.: Melanoma: epidemiology, risk factors, pathogenesis, diagnosis and classification. In: vivo 28.6, pp. 1005–1011 (2014)

5. Slominski, R.M., Zmijewski, M.A., Slominski, A.T.: The role of melanin pigment in melanoma. Exp. Dermatol. 24(4), 258 (2015)

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