A Systematic Analysis of Skin Cancer Detection Using Machine Learning and Deep Learning Techniques

Authors

  • Farah Sultan Department of Computer Science, Faculty of Computing, University of Sargodha, Sargodha, 40100, Pakistan.
  • Muhammad Kaleem Department of Information Technology, Faculty of Computing, University of Sargodha, Sargodha, 40100, Pakistan.
  • Nisar Ahmad Department of Information Technology, Faculty of Computing, University of Sargodha, Sargodha, 40100, Pakistan.
  • Salman Rashid Department of Computer Science & Information Technology, University of Lahore, Lahore, 54500, Pakistan
  • Muhammad Azhar Mushtaq Department of Information Technology, Faculty of Computing, University of Sargodha, Sargodha, 40100, Pakistan.
  • Naveed Ahmad Department of Software Engineering, Faculty of Computing, University of Sargodha, Sargodha, 40100, Pakistan.

Keywords:

Skin cancer, Deep learning, Classification, Machine Learning

Abstract

The skin serves as the primary line for protection against oxidative damage by UV rays on the outside of the body. Skin cancer is now the most often reported malignancy in the world, placing a great effect on economy as well as public health. The most frequent kind of cancer in Caucasians, encompassing both melanoma and non-melanoma, is skin cancer. In this proposed taxonomy, a complete overview of recent developments relevant to cancer diagnosis was discussed. Moreover, a review of melanoma cancer detection methods using machine learning and deep learning with image processing techniques was conducted. It also includes comparison of performance metrics, results, and publicly accessible datasets as well. Conclusion drawn from this study was that deep learning, CNN based models provide more accurate results across variety of datasets among all other machine learning and deep learning models and this also leads directions to the other researchers that which areas will be covered in future.

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Published

2023-12-05

How to Cite

Farah Sultan, Muhammad Kaleem, Nisar Ahmad, Salman Rashid, Muhammad Azhar Mushtaq, & Naveed Ahmad. (2023). A Systematic Analysis of Skin Cancer Detection Using Machine Learning and Deep Learning Techniques. Journal of Computing & Biomedical Informatics, 6(01), 144–159. Retrieved from https://jcbi.org/index.php/Main/article/view/283