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

Title:: Estimating Total Lung Volume from Pixel-Level Thickness Maps of Chest Radiographs Using Deep Learning
Document type:: Zeitschriftenaufsatz
Author(s):: Dorosti, Tina; Schultheiss, Manuel; Schmette, Philipp; Heuchert, Jule; Thalhammer, Johannes; Gassert, Florian T.; Sellerer, Thorsten; Schick, Rafael; Taphorn, Kirsten; Mechlem, Korbinian; Birnbacher, Lorenz; Schaff, Florian; Pfeiffer, Franz; Pfeiffer, Daniela
Journal title:: Radiology: Artificial Intelligence
Year:: 2025
Fulltext / DOI:: doi:10.1148/ryai.240484
Publisher:: Radiological Society of North America (RSNA)
E-ISSN:: 2638-6100
Date of publication:: 28.05.2025
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