Automated detection of major thoracic structures with a novel online learning method

Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang

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

    Abstract

    This paper presents a novel on-line learning method for automatically detecting anatomic structures in medical images. Conventional off-line learning requires collecting all representative samples before the commencement of training. Our presented approach eliminates the need for storing historical training samples and is capable of continuously enhancing its performance with new samples. We evaluate our approach with three distinct thoracic structures, demonstrating that our approach yields competing performance to the off-line approach. This demonstrated performance is attributed to our novel on-line learning structure coupled with histogram as weaker learner.

    Original languageEnglish (US)
    Title of host publicationMachine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Proceedings
    Pages273-281
    Number of pages9
    DOIs
    StatePublished - Oct 17 2011
    Event2nd International Workshop on Machine Learning in Medical Imaging, MLMI 2011, in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada
    Duration: Sep 18 2011Sep 18 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7009 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other2nd International Workshop on Machine Learning in Medical Imaging, MLMI 2011, in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011
    CountryCanada
    CityToronto, ON
    Period9/18/119/18/11

    Keywords

    • Kalman filter
    • Thoracic structure detection
    • histogram
    • on-line learning

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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  • Cite this

    Tajbakhsh, N., Wu, H., Xue, W., & Liang, J. (2011). Automated detection of major thoracic structures with a novel online learning method. In Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Proceedings (pp. 273-281). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7009 LNCS). https://doi.org/10.1007/978-3-642-24319-6_34