Article

Feasibility of Automated Accurate Lung Segmentation Using Deep Learning on Virtual Unenhanced Images from Gemstone Spectral CT Imaging For Pulmonary Ventilation Assessment

2025-09-30

Abstract excerpt

<title>Abstract</title> <p><bold>Objective</bold>:To evaluate the feasibility of applying deep learning-based automatic lung segmentation to virtual unenhanced (VUE) images generated from gemstone spectral imaging (GSI) CT scans.<bold>Materials and Methods</bold>:This retrospective study included patients who underwent chest CT scans. The protocol consisted of conventional true unenhanced (TUE) scans, arterial-ph...

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Literature Corpus work: c366565d-b686-5ebc-be19-e11201ebf0ec
DOI: 10.21203/rs.3.rs-7300980/v1

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