authors Rudyanto, R.D. MUÑOZ BARRUTIA, MARIA ARRATE Diaz, A.A. Ross, J. Washko, G.R. ORTIZ DE SOLÓRZANO, CARLOS Estépar, R.S.J.
keywords atmospheric modeling; computational modeling; lungs; kernel; ct; lung; probability model; airway segmentation; chronic obstructive pulmonary disease; lung; kernel density estimation methods; nonparametric methods; posterior probability; probability models; quantitative assessments; tubular structures; bayesian networks; biological organs; computerized tomography; medical imaging; probability; pulmonary diseases