DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification

Tiep H. Vu, Hojjat S. Mousavi, Vishal Monga, U. K.Arvind Rao, Ganesh Rao

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

    21 Scopus citations

    Abstract

    In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure. In this paper, we propose an automatic feature discovery framework for extracting discriminative class-specific features and present a low-complexity method for classification and disease grading in histopathology. Essentially, our Discriminative Feature-oriented Dictionary Learning (DFDL) method learns class-specific features which are suitable for representing samples from the same class while are poorly capable of representing samples from other classes. Experiments on three challenging real-world image databases: 1) histopathological images of intraductal breast lesions, 2) mammalian lung images provided by the Animal Diagnostics Lab (ADL) at Pennsylvania State University, and 3) brain tumor images from The Cancer Genome Atlas (TCGA) database, show the significance of DFDL model in a variety problems over state-of-the-art methods.

    Original languageEnglish (US)
    Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
    PublisherIEEE Computer Society
    Pages990-994
    Number of pages5
    ISBN (Electronic)9781479923748
    DOIs
    StatePublished - Jul 21 2015
    Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
    Duration: Apr 16 2015Apr 19 2015

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    Volume2015-July
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Other

    Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
    CountryUnited States
    CityBrooklyn
    Period4/16/154/19/15

    All Science Journal Classification (ASJC) codes

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Vu, T. H., Mousavi, H. S., Monga, V., Rao, U. K. A., & Rao, G. (2015). DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 990-994). [7164037] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7164037