RATIONALE AND OBJECTIVES: Hyperpolarized RESULTS: Training/testing used data from 205 participants (healthy volunteers, asthma, COPD, long-COVID
mean age=54 ± 16y
119 females) from Site1. External validation used data from 71 participants. CNN and semi-automated CONCLUSION: An externally validated CNN registration/segmentation model demonstrated strong agreement with low error compared to the semi-automated method. CNN and semi-automated registrations, thoracic-cavity-volume and ventilation-volume segmentations were highly correlated with high gDSC for the datasets.