Köpeklerdeki Uzun Kemiklerin Evrişimsel Sinir Ağları Kullanılarak Sınıflandırılması.

Deep learning, one of the most popular topics of recent years, is frequently used in the biomedical field. Disease and fracture detection, data estimation, tissue and organ segmentation, and many other applications are successfully carried out with deep learning algorithms. However, while these applications are valid for human medicine, veterinary medicine is left behind. So, the deficiency in the literature about animal's X-Ray images processing has been the biggest motivation for this study. In this work, a comprehensive dataset containing dog X-Rays taken from Ankara Metropolitan Municipality Stray Animals Temporary Nursing Home, was processed with deep learning algorithms. It is aimed to determine the type of long bone. Like many other studies, Convolutional Neural Networks'(CNN) architectures are utilized in this study, too. Transfer learning was carried out with AlexNet, GoogLeNet and VGG-19 deep learning models, and the classification performance was tested with Support Vector Machines (SVM). [ABSTRACT FROM AUTHOR]