Chest X-Ray Image

Published: 19 October 2023| Version 1 | DOI: 10.17632/m4s2jn3csb.1
Md Alamin Talukder


Chest X-ray images are a critical diagnostic tool in the field of medicine, primarily used for the detection and monitoring of various lung diseases, including COVID-19 and pneumonia. These images offer a non-invasive way to visualize the internal structures of the chest, allowing medical professionals to identify abnormalities, lesions, or infections in the lungs. Lung diseases, such as pneumonia and COVID-19, are a significant global health concern. Understanding their prevalence and early detection are crucial in reducing morbidity and mortality associated with these conditions. Mortality statistics worldwide underscore the importance of effective lung disease and COVID-19 detection. According to the World Health Organization (WHO), lung diseases are a leading cause of death, accounting for approximately 4 million fatalities annually. In the case of the COVID-19 pandemic, the timely detection and management of infected individuals can significantly impact the course of the disease and reduce its spread. The "Chest X-Ray Image Dataset" is a valuable resource that aids in the diagnosis and research of lung diseases, including COVID-19. This dataset contains images collected from various hospitals in Bangladesh, where medical professionals have diligently monitored and gathered X-ray images for research and diagnostic purposes. It offers a total of 4,350 high-quality images, categorized into four distinct classes: Normal (Class Distribution: 1200 Images): This category includes X-ray images of healthy lungs, serving as a reference for comparison with diseased or infected lungs. Lung Opacity (Class Distribution: 1100 Images): These images represent cases with lung opacities or abnormalities that require further examination and diagnosis. COVID (Class Distribution: 1050 Images): This class contains X-ray images of patients with confirmed or suspected cases of COVID-19, aiding in the early detection and monitoring of the disease. Viral Pneumonia (Class Distribution: 1000 Images): X-ray images in this category are associated with viral pneumonia cases, assisting in the identification and understanding of this specific type of lung infection. This dataset plays a vital role in the healthcare sector. It empowers medical professionals and researchers by providing a comprehensive collection of chest X-ray images to facilitate lung disease and COVID-19 detection. By using machine learning and deep learning techniques, this dataset can contribute to the development of automated diagnostic tools, aiding in faster and more accurate disease identification. The insights gained from this dataset can enhance patient care, reduce mortality rates, and play a pivotal role in the ongoing battle against lung diseases and COVID-19.



Jagannath University


Computer Modeling in Medical Science, Applied Computer Science