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  • Open Access


    Automatic Detection and Classification of Human Knee Osteoarthritis Using Convolutional Neural Networks

    Mohamed Yacin Sikkandar1,*, S. Sabarunisha Begum2, Abdulaziz A. Alkathiry3, Mashhor Shlwan N. Alotaibi1, Md Dilsad Manzar4

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4279-4291, 2022, DOI:10.32604/cmc.2022.020571

    Abstract Knee Osteoarthritis (KOA) is a degenerative knee joint disease caused by ‘wear and tear’ of ligaments between the femur and tibial bones. Clinically, KOA is classified into four grades ranging from 1 to 4 based on the degradation of the ligament in between these two bones and causes suffering from impaired movement. Identifying this space between bones through the anterior view of a knee X-ray image is solely subjective and challenging. Automatic classification of this process helps in the selection of suitable treatment processes and customized knee implants. In this research, a new automatic classification of KOA images based on… More >

  • Open Access


    Identification and Segmentation of Impurities Accumulated in a Cold-Trap Device by Using Radiographic Images

    Thamotharan B1,*, Venkatraman B2, Chandrasekaran S3

    Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 335-340, 2020, DOI:10.31209/2019.100000156

    Abstract Accumulation of impurities within cold trap device results in degradation of efficient performance in a nuclear reactor systems. The impurities have to be identified and the device has to be replaced periodically based on the accumulation level. Though there are a few techniques available to identify these impurities from the cold trap device, there are certain limitations in these techniques. In order to overcome these constraints, a new harmless and easy approach for identifying and separating the impurities using the radiographic images of cold traps is proposed in this paper. It includes a new segmentation algorithm to segregate the deposited… More >

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