I. Introduction
Medical imaging has revolutionized the field of healthcare by providing invaluable insights into the human body's internal structures and functions [1]. Accurate and timely interpretation of medical images is essential for diagnosis and treatment planning. In recent years, deep learning, a subset of artificial intelligence, has sparked a transformative shift in how medical imagery is analyzed and interpreted [2]. This shift has enhanced the efficiency of medical image interpretation and has shown great promise in improving diagnostic accuracy, particularly in diseases like pneumonia.