Brain Morphometry by Probabilistic Latent Semantic Analysis

  title={Brain Morphometry by Probabilistic Latent Semantic Analysis},
  author={Umberto Castellani and Alessandro Perina and Vittorio Murino and Marcella Bellani and Gianluca Rambaldelli and Michele Tansella and Paolo Brambilla},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  volume={13 Pt 2},
The paper propses a new shape morphometry approach that combines advanced classification techniques with geometric features to identify morphological abnormalities on the brain surface. Our aim is to improve the classification accuracy in distinguishing between normal subjects and schizophrenic patients. The approach is inspired by natural language processing. Local brain surface geometric patterns are quantized to visual words, and their co-occurrences are encoded as visual topic. To do this… CONTINUE READING


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