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Skin Lesion Detection Using Recent Machine Learning Approaches

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Prognostic Models in Healthcare: AI and Statistical Approaches

Part of the book series: Studies in Big Data ((SBD,volume 109))

Abstract

Traditional and deep learning approaches act a significant performance in the medical fields. They have been used to identify various illnesses on the early stage. Countless death rates were recorded in the last two decades due to cancer. Out of these cases, skin cancer was the highest popular form of cancer. Sunlight, ultraviolet rays, moles, and many other reasons cause skin cancer. Skin cancer can be treated if it is diagnosed at the premature stage. Manually diagnosing skin cancer is a time-consuming procedure, requiring a lot of human power while it is a grueling procedure. Various approaches for automatically detecting skin cancer have now been developed in recent years as technology has improved. In this chapter skin lesion detection steps like preprocessing (to remove noise from images), segmentation (to get skin lesion location), feature extraction, feature selection, and classification methods have been discussed in detail. Furthermore limitation, gaps in the domain of skin lesions are also discussed that provide help for the researchers.

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Authors and Affiliations

  1. Department of Computer Science, COMSATS University Islamabad, Wah Campus, Pakistan

    Ihtishaam ul haq & Muhammad Sharif

  2. Department of Computer Science, University of Wah, Wah Cantt, Pakistan

    Javeria Amin

  3. National University of Technology (NEUTCH), Islamabad, Pakistan

    Muhammad Almas Anjum

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  1. Ihtishaam ul haq
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  2. Javeria Amin
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  3. Muhammad Sharif
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  4. Muhammad Almas Anjum
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Corresponding author

Correspondence to Muhammad Sharif .

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Editors and Affiliations

  1. Artificial Intelligence and Data Analytics Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Tanzila Saba

  2. Artificial Intelligence and Data Analytics Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Amjad Rehman

  3. Artificial Intelligence and Data Science, Jio Institute, Ulwe, Navi Mumbai, India

    Sudipta Roy

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ul haq, I., Amin, J., Sharif, M., Almas Anjum, M. (2022). Skin Lesion Detection Using Recent Machine Learning Approaches. In: Saba, T., Rehman, A., Roy, S. (eds) Prognostic Models in Healthcare: AI and Statistical Approaches. Studies in Big Data, vol 109. Springer, Singapore. https://doi.org/10.1007/978-981-19-2057-8_7

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