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We are developing a complex computer aided diagnosis (CAD) system to detect small pulmonary nodules from he-lical CT scans. Here we present a classifier to reduce the number of false positive responses of the primary detector. Our approach is based on an asymmetric Adaboost which enables us to give different weights to missed nodules (false negatives, FNs)(More)
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