The authors create a synthetic lung CT phantom with adjustable simulated contrast and report a 2.14% geometric error when re-segmenting the phantom's blood vessels.
Estimating pulmonary arterial pressure difference using integrated machine learning - computational fluid dynamics,
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An in-silico lung phantom to assess the performance of pulmonary artery segmentation using angiogram
The authors create a synthetic lung CT phantom with adjustable simulated contrast and report a 2.14% geometric error when re-segmenting the phantom's blood vessels.