Skin Cancer Detection Based on Deep Learning Methods-Reference-Cited by-同舟云学术

Skin Cancer Detection Based on Deep Learning Methods

Published:2023 Issue: Volume: Page:58-67
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
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Author:

Shaaban Sara,Atya Hanan,Mohammed Heba,Sameh Ahmed,Raafat Kareem,Magdy Ahmed

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27762-7_6

Reference34 articles.

1. King, G., Zeng, L.: Replication data for: when can history be our guide? The pitfalls of counterfactual inference. Harv. Dataverse (2006)

2. Hanmer, M.J., Banks, A.J., White, I.K.: Replication data for: experiments to reduce the over-reporting of voting: a pipeline to the truth. Harv. Dataverse (2013)

3. Young, G.O.: Synthetic structure of industrial plastics. In: Peters, J. (ed.) Plastics, vol. 3, 2nd edn., pp. 15–64. McGraw-Hill, New York, NY, USA (1964)

4. Chen, W.-K.: Linear Networks and Systems, pp. 123–135. Wadsworth, Belmont, CA, USA (1993)

5. Ferlay, J., et al.: Cancer statistics for the year 2020: an overview. Int. J. Cancer (2021)

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