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Image Processing and Analysis for Decision Making Applied to Melanoma

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Advanced Methods for Human Biometrics

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 40))

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Abstract

Malignant melanoma is considered one of the terrible disorders causing death. The goal of modern dermatology is the early screening of skin cancer, aiming at reducing the mortality rate with less extensive treatment. In this context, this work focuses on the problem of an automatic melanoma diagnosis based on two approaches. The first system is based on the ABCD diagnostic rule widely accepted by clinicians. The second system is based on extracting features and then classifying based on Support Vector Machine.

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Acknowledgements

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 102.99–2013.06.

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Authors and Affiliations

  1. Cybernics Team, Control and Energy Management Laboratory, ENIS, ISBS, University of Sfax, Sfax, Tunisia

    Nadia Smaoui Zghal

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  1. Nadia Smaoui Zghal
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Correspondence to Nadia Smaoui Zghal .

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Editors and Affiliations

  1. Department of Electrical Engineering, Engineering High School of Sfax, University of Sfax, Sfax, Tunisia

    Nabil Derbel

  2. Chair for Measurement and Sensor Technology, Department of Electrical Engineering and Information Technology, Chemnitz University of Technology, Chemnitz, Germany

    Olfa Kanoun

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Zghal, N.S. (2021). Image Processing and Analysis for Decision Making Applied to Melanoma. In: Derbel, N., Kanoun, O. (eds) Advanced Methods for Human Biometrics. Smart Sensors, Measurement and Instrumentation, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-030-81982-8_12

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