Lung Disease

Lung disease research intensely focuses on developing accurate and rapid diagnostic tools, primarily leveraging deep learning techniques such as convolutional neural networks (CNNs), vision transformers (ViTs), and hybrid architectures, to analyze chest X-rays and CT scans. These models aim to classify various lung pathologies, including pneumonia, tuberculosis, emphysema, and COVID-19, often achieving high accuracy in differentiating disease types and assessing severity. This work is crucial for improving patient outcomes through earlier and more precise diagnosis, facilitating better treatment strategies, and potentially reducing healthcare costs associated with misdiagnosis or delayed intervention.