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Abstract

This paper summarizes our work and our understanding on volumetric pathological neuroimage retrieval under the framework of classification-driven feature selection. The main effort concerns off-line image feature space reduction for improved image indexing feature discriminating power as well as reduced computational cost during on-line pathological neuroimage retrieval.

Keywords

3D image, feature selection, brain asymmetry, midsagittal plane, image classification, indexing, retrieval

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Medical Robotics Technology Center

Associated Lab(s) / Group(s): Medical Robotics and Computer Assisted Surgery, Computational Symmetry, Biomedical Image Analysis

Associated Project(s): A Statistical Quantification of Human Brain Asymmetry

Number of pages: 20

Note: In Press

Text Reference

Yanxi Liu, Nicole Lazar, W.E. Rothfus, Frank Dellaert, Andrew Moore, Jeff Schneider, and Takeo Kanade, "Semantic based Biomedical Image Indexing and Retrieval," Trends and Advances in Content-Based Image and Video Retrieval, Shapiro, Kriegel, and Veltkamp, ed., 2004

BibTeX Reference

@incollection{Liu_2004_4612,
   author = "Yanxi Liu and Nicole Lazar and W.E. Rothfus and Frank Dellaert and Andrew Moore and Jeff Schneider and Takeo Kanade",
   editor = "Shapiro, Kriegel, and Veltkamp",
   title = "Semantic based Biomedical Image Indexing and Retrieval",
   booktitle = "Trends and Advances in Content-Based Image and Video Retrieval",
   month = "February",
   year = "2004",
   Notes = "In Press"
}

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