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A Novel Mobile Based Hybrid Skin Tone Classification Algorithm for Cancer Detection

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Data Science and Analytics (REDSET 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1229))

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Abstract

Human skin, epidermis, forms the largest organ of the human body. It plays an integral role as the outermost layer of the body by guarding internal organs from the environment, producing vitamin D which is important for various bodily functions and regulating body temperature. Skin ailments are a growing concern with a significant rise in cases reported in both developed and developing countries. With the rise in exposure to UV radiation, it is very important to detect skin cancer in its nascent stages which significantly increases chances of successful treatment. The proposed method seeks to use a single image captured from a standard smartphone and classify the input image as cancerous or non- cancerous. Multiple algorithms for feature extraction and classification are compared to obtain the maximum accuracy.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, India

    Paarth Bir

  2. School of Computer Science and Engineering, Galgotias University, Greater Noida, India

    B. Balamurugan

Authors
  1. Paarth Bir
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  2. B. Balamurugan
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Correspondence to Paarth Bir .

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Editors and Affiliations

  1. GD Goenka University, Gurugram, India

    Usha Batra

  2. GD Goenka University, Sohna, Haryana, India

    Nihar Ranjan Roy

  3. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

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Bir, P., Balamurugan, B. (2020). A Novel Mobile Based Hybrid Skin Tone Classification Algorithm for Cancer Detection. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1229. Springer, Singapore. https://doi.org/10.1007/978-981-15-5827-6_19

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  • DOI: https://doi.org/10.1007/978-981-15-5827-6_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5826-9

  • Online ISBN: 978-981-15-5827-6

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