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Article

Improved Detection of Air Trapping on Expiratory Computed Tomography Using Deep Learning

2020-11-18

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Radiologic evidence of air trapping (AT) on expiratory computed tomography (CT) scans is associated with early pulmonary dysfunction in patients with cystic fibrosis (CF). However, standard techniques for quantitative assessment of AT are highly variable, resulting in limited efficacy for monitoring disease progression. <h4>Objective</h4> To investigate the effectiveness of a...

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Literature Corpus work
9a84fb92-db83-5ec9-95c3-748c9dbfc6f7
DOI
10.1101/2020.11.17.20229344
Open publication

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Improved Detection of Air Trapping on Expiratory Computed Tomography Using Deep LearningDOI 10.1101/2020.11.17.20229344
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