Automated CT-Based Quantification of Pulmonary Fibrosis Using Deep Learning-Based Lung Segmentation
Background/Objectives: To develop and evaluate an automated CT-based framework for the quantitative assessment of fibrotic interstitial lung disease (ILD), including idiopathic pulmonary fibrosis (IPF), using a standardised six-level anatomical protocol and deep-learning lung segmentation. Methods: The segmentation dat...