Browsing by Author "Ashames, M.M."

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    Citation - Scopus: 7
    Deep Transfer Learning and Majority Voting Approaches for Osteoporosis Classification
    (Ismail Saritas, 2021) Ashames, M.M.; Ceylan, Murat; Jennane, R.
    Osteoporosis is a systemic skeletal disease characterized by low bone mass density and deterioration of the micro-architectural structure of the bone tissue, increasing bone fragility, and the probability of fracture. In this study, we propose a non-invasive method for osteoporosis classification using X-ray images (plain radiographs) of the ankle. Convolutional Neural Networks along with Data Augmentation techniques and Deep Transfer Learning Architectures are combined to classify X-ray images of healthy and osteoporotic patients. The proposed approach achieved an accuracy of 99% using ResNet50, and 100% with GoogleNet. © 2021, Ismail Saritas. All rights reserved.