Abstract:

Respiratory diseases are transmitted to the respiratory tract of people through various channels; diseases caused by micro-organisms such as viruses and bacteria. These creatures weaken the body's immune system, leading to the formation of infection, and can reproduce in the individual in organs such as the ear, nose, throat, respiratory tract and lung. As a result; it can cause diseases such as "pneumonia, Serious Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), Corona Virus Disease (COVID-19)" and can lead to the death of patients if early intervention is not received. In this study, a different learning approach is proposed by combining the quantum model and the deep learning model. This model continues its development with the support provided by various library software developers. The dataset used in the study consists of respiratory diseases and normal X-ray images. In the experimental analysis, the dataset was trained using the Quantum Transfer Learning (QTL) model and the accuracy rate obtained from the analysis results was 92.50%. As a result, it was observed in this study that the Quantum approach gave promising results like deep learning models.

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