CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays

• Published in: Multimedia tools and applications Vol. 82; no. 9; pp. 13855 - 13880
• Main Authors: Malik, Hassaan, Anees, Tayyaba, Din, Muizzud, Naeem, Ahmad
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2023; Springer Nature B.V
• Subjects: Accuracy; Artificial neural networks; Bacterial diseases; Chest; Classification; Computer Communication Networks; Computer Science; Coronaviruses; COVID-19; Data Structures and Information Theory; Deep learning; Diagnosis; Disorders; Lung cancer; Machine learning; Multimedia Information Systems; Neural networks; Pneumonia; Pneumothorax; Recall; Signs and symptoms; Special Purpose and Application-Based Systems; Statistical analysis; Statistical methods; Tuberculosis; Viral diseases; X-rays; COVID-19; Deep learning; Pneumonia; Coronavirus; Chest x-rays

Coronavirus (COVID-19) has adversely harmed the healthcare system and economy throughout the world. COVID-19 has similar symptoms as other chest disorders such as lung cancer (LC), pneumothorax, tuberculosis (TB), and pneumonia, which might mislead the clinical professionals in detecting a new varia...