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Method to Enhance Classification of Skin Cancer Using Back Propagated Artificial Neural Network

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Applied Intelligence and Informatics (AII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1435))

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Abstract

Skin cancer is one of the kinds of cancer that leads to millions of deaths of human beings. Early identification and appropriate medications for new harmful skin malignancy cases are fundamental to guarantee a low death rate as the survival rate. Most of the related works are focusing on machine learning-based algorithms, but they provide the maximum accuracy of and specificity. In the preprocessing stage, sharpening filter and smoothening filters are used to remove the noise along with enhancement operations. Then Otsu’s segmentation used for efficient detection of the region of skin cancer. Finally, to achieve the maximum accuracy for classification back-propagated based artificial neural network (BP-ANN) developed for the categorization of skin cancer with the spatially gray level dependency matrix (SGLD) features. The suggested research work can be effectively used for the organization of various Benign and Melanoma skin cancers.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India

    V. Nyemeesha

  2. Department of Information Technology, Kannur University Campus, Mangattuparamba, Kannur, Kerala, India

    B. Mohammed Ismail

Authors
  1. V. Nyemeesha
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  2. B. Mohammed Ismail
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Editor information

Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. Jahangirnagar University, Savar, Dhaka, Bangladesh

    M. Shamim Kaiser

  3. Auckland University of Technology, Auckland, New Zealand

    Nikola Kasabov

  4. Old Dominion University, Norfolk, VA, USA

    Khan Iftekharuddin

  5. Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Nyemeesha, V., Ismail, B.M. (2021). Method to Enhance Classification of Skin Cancer Using Back Propagated Artificial Neural Network. In: Mahmud, M., Kaiser, M.S., Kasabov, N., Iftekharuddin, K., Zhong, N. (eds) Applied Intelligence and Informatics. AII 2021. Communications in Computer and Information Science, vol 1435. Springer, Cham. https://doi.org/10.1007/978-3-030-82269-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-82269-9_9

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