Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

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Convolution Neural Network Models to Detect Melanoma: A Review

Authors
Naveen Palanichamy1, *, R. Saravana Kumar2, Su-Cheng Haw1, Kok-Why Ng1, Elham Anaam3
1Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia
2Global Solution Center, Tech Mahindra ICT Services, Cyberjaya, Malaysia
3Faculty of Information Science and Technology, University Kebangsaan Malaysia, 43600, Bangi, Malaysia
*Corresponding author. Email: p.naveen@mmu.edu.my
Corresponding Author
Naveen Palanichamy
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-094-7_37How to use a DOI?
Keywords
Melanoma; Convolution neural networks; Machine learning; Skin cancer detection
Abstract

Skin cancer is one of the most serious health issues that humans face. Dermatologists face difficulty in making a skin cancer diagnosis because many skin cancer pigments seem alike. Early detection of skin cancers like Melanoma means a better chance of survival for the patient otherwise it can be life-threatening. For computer vision problems like image classification, deep learning has proven to be the state-of-the-art. There has been a great deal of research into the use of deep learning to automate skin cancer screening. The objective of this paper is to review the state-of-the-art CNN techniques used for Melanoma detection. This paper presents an overview of CNN, followed by analysing the existing work carried out in the area of Melanoma skin cancer detection using Convolution Neural Network (CNN).

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-094-7_37
ISSN
2589-4900
DOI
10.2991/978-94-6463-094-7_37How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Naveen Palanichamy
AU  - R. Saravana Kumar
AU  - Su-Cheng Haw
AU  - Kok-Why Ng
AU  - Elham Anaam
PY  - 2022
DA  - 2022/12/27
TI  - Convolution Neural Network Models to Detect Melanoma: A Review
BT  - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
PB  - Atlantis Press
SP  - 469
EP  - 479
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-094-7_37
DO  - 10.2991/978-94-6463-094-7_37
ID  - Palanichamy2022
ER  -