A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder-Reference-Cited by-同舟云学术

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A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder

Published:2021 Issue: Volume: Page:43-51
ISSN:2194-5357
Container-title:Cognitive Informatics and Soft Computing
language:
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Author:

Mallick Pradeep Kumar,Mishra Sushruta,Mohanty Bibhu Prasad,Satapathy Sandeep Kumar

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1056-1_4

Reference26 articles.

1. Siegel, R., Naishadham, D., Jamal, A.: Cancer statistics. Cancer J. Clin., pp. 10–29 (2012). https://doi.org/https://doi.org/10.3322/caac.20138

2. Esteva1, A., Kuprel1, B., Novoa, R.A., Ko, J., Swetter, S.M., Blau, H.M., Thrun, S. :Dermatologist-level classification of skin cancer with deep neural networks. Nature, pp. 115–126 (2017). https://doi.org/https://doi.org/10.1038/nature21056.

3. Siegel, R., Miller, K.D., Jamal, A.: Cancer statistics. Cancer J. Clin., pp. 7–30 (2018). https://doi.org/https://doi.org/10.3322/caac.21442.

4. W. H. Organization. WHO. [link]. https://www.who.int/uv/faq/skincancer/en/in dex1.html.

5. Zhang, X.: Melanoma segmentation based on deep learning. Comput. Assist. Surg. 22(Suppl. 1), 267–277 (2017). https://doi.org/10.1080/24699322.2017.1389405

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