A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images-Reference-Cited by-同舟云学术

A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

Published:2020 Issue: Volume: Page:191-208
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Nunnari Fabrizio^ORCID,Bhuvaneshwara Chirag^ORCID,Ezema Abraham Obinwanne^ORCID,Sonntag Daniel^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57321-8_11

Reference23 articles.

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3. Codella, N.C.F., et al.: Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC). arXiv:1710.05006 [cs], October 2017

4. Combalia, M., et al.: BCN20000: Dermoscopic Lesions in the Wild. arXiv:1908.02288 [cs, eess], August 2019

5. Curiel-Lewandrowski, C., et al.: Artificial intelligence approach in melanoma. In: Fisher, D.E., Bastian, B.C. (eds.) Melanoma, pp. 1–31. Springer, New York (2019)

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