Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Review on Automated Skin Cancer Detection Using Image Processing Methods

Authors
Raju S. Maher1, *, Shobha K. Bhawiskar2
1Department of Computer Science & IT, Dr. Babasaheb Ambedkar, Marathwada University, Aurangabad, Maharashtra, India
2Government Institute of Forensic Science, Aurangabad, Maharashtra, India
*Corresponding author. Email: rajumahercs@gmail.com
Corresponding Author
Raju S. Maher
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_39How to use a DOI?
Keywords
Skin cancer; Melanoma; Image Processing
Abstract

The skin is the most crucial component of the human body because it protects the muscles, bones, and entire body. One of the most common illnesses affecting people nowadays is skin cancer. These days, a great number of people are affected by skin cancer. Skin cancer develops as a result of genetic flaws or mutations brought on by unrepaired deoxyribonucleic acid in skin cells. A novel spectral approach is devised to acquire a number of measurements of those discovered in malignant skin areas using the sample photos that were taken by medical researchers. The two stages of the automated diagnosis system’s operation are the detection of skin abnormalities and the assessment of melanoma’s malignancy. This paper outlines the procedures and approaches for automated skin cancer diagnosis. This article offers early-stage researchers helpful details on methods, databases, and the essential procedures for a skin cancer diagnosis.

Copyright
© 2023 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 Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_39How to use a DOI?
Copyright
© 2023 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  - Raju S. Maher
AU  - Shobha K. Bhawiskar
PY  - 2023
DA  - 2023/05/01
TI  - Review on Automated Skin Cancer Detection Using Image Processing Methods
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 456
EP  - 465
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_39
DO  - 10.2991/978-94-6463-136-4_39
ID  - Maher2023
ER  -