Classification-driven pathological neuroimage retrieval using statistical asymmetry measures

Yanxi Liu, F. Dellaert, W. E. Rothfus, A. Moore, J. Schneider, T. Kanade

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper reports our methodology and initial results on volumetric pathological neuroimage retrieval. A set of novel image features are computed to quantify the statistical distributions of approximate bilateral asymmetry of normal and pathological human brains. We apply memory-based learning method to find the most-discriminative feature subset through image classification according to predefined semantic categories. Finally, this selected feature subset is usedas indexing features to retrieve medically similar images under a semantic-based image retrieval framework. Quantitative evaluations are provided.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings
EditorsWiro J. Niessen, Max A. Viergever
PublisherSpringer Verlag
Pages655-665
Number of pages11
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - Jan 1 2001
Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
Duration: Oct 14 2001Oct 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2208
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
CountryNetherlands
CityUtrecht
Period10/14/0110/17/01

Fingerprint

Asymmetry
Retrieval
Semantics
Subset
Quantitative Evaluation
Image classification
Statistical Distribution
Image Classification
Image retrieval
Image Retrieval
Indexing
Brain
Quantify
Data storage equipment
Methodology
Framework
Human
Learning

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Liu, Y., Dellaert, F., Rothfus, W. E., Moore, A., Schneider, J., & Kanade, T. (2001). Classification-driven pathological neuroimage retrieval using statistical asymmetry measures. In W. J. Niessen, & M. A. Viergever (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings (pp. 655-665). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_79
Liu, Yanxi ; Dellaert, F. ; Rothfus, W. E. ; Moore, A. ; Schneider, J. ; Kanade, T. / Classification-driven pathological neuroimage retrieval using statistical asymmetry measures. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. editor / Wiro J. Niessen ; Max A. Viergever. Springer Verlag, 2001. pp. 655-665 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Liu, Y, Dellaert, F, Rothfus, WE, Moore, A, Schneider, J & Kanade, T 2001, Classification-driven pathological neuroimage retrieval using statistical asymmetry measures. in WJ Niessen & MA Viergever (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2208, Springer Verlag, pp. 655-665, 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, Utrecht, Netherlands, 10/14/01. https://doi.org/10.1007/3-540-45468-3_79

Classification-driven pathological neuroimage retrieval using statistical asymmetry measures. / Liu, Yanxi; Dellaert, F.; Rothfus, W. E.; Moore, A.; Schneider, J.; Kanade, T.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. ed. / Wiro J. Niessen; Max A. Viergever. Springer Verlag, 2001. p. 655-665 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Liu Y, Dellaert F, Rothfus WE, Moore A, Schneider J, Kanade T. Classification-driven pathological neuroimage retrieval using statistical asymmetry measures. In Niessen WJ, Viergever MA, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings. Springer Verlag. 2001. p. 655-665. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-45468-3_79