Lung Disease Detection and Classification Based on AI, Deep Learning and Machine Learning: A Comprehensive Survey

Background

Lung diseases significantly contribute to substantial global morbidity and mortality, which pose considerable diagnostic challenges. Manual analysis of medical images like chest X-rays and CT scans is often subject to human error, requires specialized expertise, and is time-consuming. To build fully automated systems that analyze the information contained in medical images, robust and efficient algorithms are required. In response, artificial intelligence (AI), especially deep learning (DL), has become an innovative approach that shows excellent results for the automation of lung disease detection and classification.