Browsing by Author "Er, Mehmet Bilal"

Now showing 1 - 1 of 1

Classification of Pneumonia Using Pre-Trained Deep Networks With Chest X-Ray Images
(Konya Technical University, 2021) Er, Mehmet Bilal
Pneumonia is a lung infection that can be caused by bacteria, viruses, or fungi. The infection causes the lungs to become inflamed and filled with fluid or pus. It can be a serious and life-threatening disease. Many people die every year due to pneumonia worldwide. Early detection and treatment of pneumonia can significantly reduce mortality. For this reason, this research is to propose a method based on pre-trained deep network models using x-ray images to detect pneumonia. Various pre-trained Convolutional Neural Networks were used as feature extractors to classify chest x-ray images into two classes without pneumonia and pneumonia. AlexNet, VGG16, ResNet (ResNet18, ResNet50, ResNet101) models are preferred as pre-trained deep network models. The hybrid feature vector is obtained by combining the features obtained from these models. As the classifier, Support Vector Machines (SVM) and Softmax in the last layer of deep networks are used. Experiments are carried out on the data set commonly used in the literature. The highest classification success is obtained from the hybrid feature vector as 98.32%.