Three-Dimensional Spatio-Temporal Features for Fast Content-based Retrieval of Focal Liver Lesions

@inproceedings{Roy2014ThreeDimensionalSF,
  title={Three-Dimensional Spatio-Temporal Features for Fast Content-based Retrieval of Focal Liver Lesions},
  author={Sharmili Roy and Yanling Chi and Jimin Liu and Sudhakar Kundapur Venkatesh and Michael S. Brown},
  year={2014}
}
Content-based image retrieval (CBIR) systems for three-dimensional (3D) medical datasets still largely rely on twodimensional (2D) image-based features extracted from a few representative slices of the image stack. Most 2D features that are currently used in the literature not only model a 3D tumor incompletely but are also highly expensive in terms of computation time, especially for high resolution datasets. Radiologist-specified semantic labels are sometimes used along with image-based 2D… CONTINUE READING

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