Submission Tilte
Next-Generation Respiratory Imaging: Diagnostics, Analytics, and Automation
Submission Abstract:
Respiratory diseases such as COPD (Chronic obstructive pulmonary disease), pneumonia, asthma, lung cancer, and post-COVID complications continue to be major global health burdens. Medical imaging modalities—such as CT, MRI, X-ray, PET, and Ultrasound—play a vital role in diagnosis, monitoring, and treatment planning. However, manual interpretation of images is time-consuming and prone to observer variability.
The rapid evolution of AI, machine learning, deep learning, 3D imaging, radiomics, and computer-aided diagnosis (CAD) has opened new possibilities for accurate and automated respiratory image analysis. This Special Issue aims to consolidate recent innovations, foster research collaboration, and accelerate clinical translation of respiratory imaging technologies.