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The proposed 3D CNN classifier for A/V segmentation. 3D patches are extracted from the CT image around vessel candidates defined by a scale-space particle algorithm. The CNN learns A/V characteristics on these patches through three 3D convolutional layers, one max pooling and three fully connected layers.
