Fully Automatic Segmentation of the Prostate using Active Appearance Models

  title={Fully Automatic Segmentation of the Prostate using Active Appearance Models},
  author={Gregoire Vincent and Gwenael Guillard and Mike Bowes},
We present a fully automatic model based system for segmenting the prostate in magnetic resonance (MR) images. The segmentation method is based on Active Appearance Models (AAM) built from manually segmented examples provided by the MICCAI 2012 Promise12 team. High quality correspondences for the model are generated using a Minimum Description Length (MDL) Groupwise Image Registration method. A multi start optimisation scheme is used to robustly match the model to new images. The model has been… CONTINUE READING
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Automated Segmentation of the Prostate in 3D MR Images Using a Probabilistic Atlas and a Spatially Constrained Deformable Model

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Fully automatic segmentation of the knee joint using active appearance models

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