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    Deep learning based breast cancer detection system using fog computing

    Access Status
    Fulltext not available
    Authors
    Welhenge, Anuradhi
    Date
    2022
    Type
    Journal Article
    
    Metadata
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    Citation
    Welhenge, A. 2022. Deep learning based breast cancer detection system using fog computing. Journal of Discrete Mathematical Sciences and Cryptography. 25 (3): pp. 661-669.
    Source Title
    Journal of Discrete Mathematical Sciences and Cryptography
    DOI
    10.1080/09720529.2021.2014130
    ISSN
    0972-0529
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/90317
    Collection
    • Curtin Research Publications
    Abstract

    Among the different types of cancers, more women are suffering from breast cancer. Breast cancer can be identified by mammograms or using ultrasounds. Early detection of the cancer can be used to minimize the complexities the women will face. Deep learning based techniques such as convolutional neural networks (CNN) are used to detect the cancer from mammograms or ultrasound scans. In this study, VGGNet based CNN is used to detect the cancer cells. A novel architecture for collecting, processing and storing of patient data is proposed in this study involving a fog layer. This study achieved a high accuracy, sensitivity and specificity compared to previous studies.

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