Estimating Total Lung Volume from Pixel-Level Thickness Maps of Chest Radiographs Using Deep Learning

作者：Tina Dorosti, Manuel Schultheiß, Philipp Schmette, Jule Heuchert, Johannes Thalhammer, Florian T. Gassert, Thorsten Sellerer, Rafael Schick, Kirsten Taphorn, Korbinian Mechlem, Lorenz Birnbacher, Florian Schaff, Franz Pfeiffer, Daniela Pfeiffer · 发表于：Radiology Artificial Intelligence · 年份：2025 · DOI：10.1148/ryai.240484 · 被引用次数：3 · 研究领域：Radiomics and Machine Learning in Medical Imaging、COVID-19 diagnosis using AI、Lung Cancer Diagnosis and Treatment

A deep learning model successfully estimated lung thickness maps and total lung volumes from chest radiographs, demonstrating strong correlation with CT-derived measurements.