The University of Auckland
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Random Forest Regression Voting Automatic Shape Model Segmentation

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posted on 2022-12-16, 01:55 authored by Marco SchneiderMarco Schneider

Overview of random forest regression voting automatic segmentation algorithm. 3D Haar-like features and corresponding displacements were used to train an RF regressor on the spatial distribution of features around each node of the shape model mesh. During segmentation, the shape model mesh (white dotted line) was initialised and 3D Haar-like features were sampled from the mesh node. The regressor for each node uses the features to predict the correct location of the node in the CT image. 



University of Auckland