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Computer-Aided Diagnosis of Melanoma Skin Cancer: A Review

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Advances in Data and Information Sciences

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 38))

Abstract

Skin cancer has a major impact on society in India and across the world. According to the figures given by the National Cancer Institute and SEER, estimated new cases of Melanoma in 2017 are 87,110. This figure is approximated 5.2% of all new cancer in 2017. As per the data obtained from the WORLD HEALTH RANKINGS, the death rate per 1,00000 is highest in New Zealand with 7.68% then Australia with 6.52%. It has been proved from the study that melanoma skin cancer is almost curable if it is diagnosed early and treated correctly; otherwise, it can spread to other parts of the body and become incurable. This paper presents the comparative study of various phases of computer-aided melanoma skin cancer detection system with the aim of providing the development achieved in the melanoma skin cancer detection by the research community from earlier period to the current time. This method starts from the image acquisition step followed by image preprocessing, segmentation, feature extraction, feature selection and classification steps. The input to this system is an image of affected skin area, and output labels this input image benign or malignant melanoma.

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Authors and Affiliations

  1. Uttarakhand Technical University, Dehradun, Uttarakhand, India

    Puneet Kumar Goyal & Mradul Kumar Jain

  2. COER Roorkee, Roorkee, Uttarakhand, India

    Nirvikar

Authors
  1. Puneet Kumar Goyal
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  2. Nirvikar
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  3. Mradul Kumar Jain
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Corresponding author

Correspondence to Puneet Kumar Goyal .

Editor information

Editors and Affiliations

  1. Smart Grid and Renewable Energy, University of Agder, Kristiansand, Norway

    Mohan L. Kolhe

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Munesh C. Trivedi

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Department of Computer Science and Engineering, The Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India

    Vikash Kumar Singh

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Goyal, P.K., Nirvikar, Jain, M.K. (2018). Computer-Aided Diagnosis of Melanoma Skin Cancer: A Review. In: Kolhe, M., Trivedi, M., Tiwari, S., Singh, V. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 38. Springer, Singapore. https://doi.org/10.1007/978-981-10-8360-0_6

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  • DOI: https://doi.org/10.1007/978-981-10-8360-0_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8359-4

  • Online ISBN: 978-981-10-8360-0

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