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    ARTICLE

    MIoT Based Skin Cancer Detection Using Bregman Recurrent Deep Learning

    Nithya Rekha Sivakumar1,*, Sara Abdelwahab Ghorashi1, Faten Khalid Karim1, Eatedal Alabdulkreem1, Amal Al-Rasheed2

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6253-6267, 2022, DOI:10.32604/cmc.2022.029266

    Abstract Mobile clouds are the most common medium for aggregating, storing, and analyzing data from the medical Internet of Things (MIoT). It is employed to monitor a patient’s essential health signs for earlier disease diagnosis and prediction. Among the various disease, skin cancer was the wide variety of cancer, as well as enhances the endurance rate. In recent years, many skin cancer classification systems using machine and deep learning models have been developed for classifying skin tumors, including malignant melanoma (MM) and other skin cancers. However, accurate cancer detection was not performed with minimum time consumption. In order to address these… More >

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