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Using a fully automated, quantitative fissure integrity score extracted from chest CT scans of emphysema patients to predict endobronchial valve response

Tada, Dallas K et al.

Escholarship · Other

32 biomedical and clinical sciences (for-2020), 3202 clinical sciences (for-2020), biomedical imaging (rcdc), bioengineering (rcdc), machine learning and artificial intelligence (rcdc), 4.2 evaluation of markers and technologies (hrcs-rac), cancer (hrcs-hc), endobronchial valve

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Using a fully automated, quantitative fissure integrity score extracted from chest CT scans of emphysema patients to predict endobronchial valve response

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