Efficient Classification Model for Melanoma Based on Convolutional Neural Networks-Reference-Cited by-同舟云学术

Efficient Classification Model for Melanoma Based on Convolutional Neural Networks

Published:2021-12-16 Issue: Volume: Page:15-27
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
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Author:

Elansary Ismail,Ismail Amr,Awad Wael

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91103-4_2

Reference26 articles.

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2. Parkin, D. M., Mesher, D., & Sasieni, P. (2011). 13. Cancers attributable to solar (ultraviolet) radiation exposure in the UK in 2010. British Journal of Cancer, 105(S2), S66–69.

3. Radiation: Ultraviolet (UV) radiation and skin cancer. Who.int. [Online]. https://www.who.int/news-room/q-a-detail/radiation-ultraviolet-(uv)-radiation-and-skin-cancer. Last accessed: 31 May 2021.

4. Goodson, A. G., & Grossman, D. (2009). Strategies for early melanoma detection: Approaches to the patient with nevi. Journal of the American Academy of Dermatology, 60(5), 719–735; quiz 736–738.

5. Siegel, R. L., Miller, K. D., & Jemal, A. (2019). Cancer statistics, 2019: Cancer statistics, 2019. CA: A Cancer Journal for Clinicians, 69(1), 7–34.

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