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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages273-281
    Number of pages9
    Volume7009 LNCS
    DOIs
    StatePublished - 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)03029743
    ISSN (Electronic)16113349

    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

    Fingerprint

    Online Learning
    Structure Learning
    Line
    Training Samples
    Medical Image
    Histogram
    Eliminate
    Distinct
    Evaluate
    Learning

    Keywords

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

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Tajbakhsh, N., Wu, H., Xue, W., & Liang, J. (2011). Automated detection of major thoracic structures with a novel online learning method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7009 LNCS, 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

    Automated detection of major thoracic structures with a novel online learning method. / Tajbakhsh, Nima; Wu, Hong; Xue, Wenzhe; Liang, Jianming.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7009 LNCS 2011. p. 273-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7009 LNCS).

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

    Tajbakhsh, N, Wu, H, Xue, W & Liang, J 2011, Automated detection of major thoracic structures with a novel online learning method. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7009 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7009 LNCS, pp. 273-281, 2nd 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, 9/18/11. https://doi.org/10.1007/978-3-642-24319-6_34
    Tajbakhsh N, Wu H, Xue W, Liang J. Automated detection of major thoracic structures with a novel online learning method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7009 LNCS. 2011. p. 273-281. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-24319-6_34
    Tajbakhsh, Nima ; Wu, Hong ; Xue, Wenzhe ; Liang, Jianming. / Automated detection of major thoracic structures with a novel online learning method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7009 LNCS 2011. pp. 273-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{16143516f51646d6b595c52c66bdeb49,
    title = "Automated detection of major thoracic structures with a novel online learning method",
    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.",
    keywords = "histogram, Kalman filter, on-line learning, Thoracic structure detection",
    author = "Nima Tajbakhsh and Hong Wu and Wenzhe Xue and Jianming Liang",
    year = "2011",
    doi = "10.1007/978-3-642-24319-6_34",
    language = "English (US)",
    isbn = "9783642243189",
    volume = "7009 LNCS",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    pages = "273--281",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

    }

    TY - GEN

    T1 - Automated detection of major thoracic structures with a novel online learning method

    AU - Tajbakhsh, Nima

    AU - Wu, Hong

    AU - Xue, Wenzhe

    AU - Liang, Jianming

    PY - 2011

    Y1 - 2011

    N2 - 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.

    AB - 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.

    KW - histogram

    KW - Kalman filter

    KW - on-line learning

    KW - Thoracic structure detection

    UR - http://www.scopus.com/inward/record.url?scp=80054002168&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=80054002168&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-24319-6_34

    DO - 10.1007/978-3-642-24319-6_34

    M3 - Conference contribution

    AN - SCOPUS:80054002168

    SN - 9783642243189

    VL - 7009 LNCS

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 273

    EP - 281

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    ER -