A novel prostate cancer classification technique using intermediate memory tabu search

MA Tahir, A Bouridane, F Kurugollu, A Amira

    Research output: Contribution to journal › Article

    17 Citations (Scopus)

    Abstract

    The introduction of multispectral imaging in pathology problems such as the identification of prostatic cancer is recent. Unlike conventional RGB color space, it allows the acquisition of a large number of spectral bands within the visible spectrum. This results in a feature vector of size greater than 100. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem. The two well-known techniques to solve this problem are feature extraction and feature selection. In this paper, a novel feature selection technique using tabu search with an intermediate-term memory is proposed. The cost of a feature subset is measured by leave-one-out correct-classification rate of a nearest-neighbor (1-NN) classifier. The experiments have been carried out on the prostate cancer textured multispectral images and the results have been compared with a reported classical feature extraction technique. The results have indicated a significant boost in the performance both in terms of minimizing features and maximizing classification accuracy.
    LanguageEnglish
    Pages2241-2249
    JournalEURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
    Volume2005
    Issue number14
    Publication statusPublished - Aug 2005

    Fingerprint

    Tabu search
    Feature extraction
    Data storage equipment
    Pathology
    Pattern recognition
    Classifiers
    Color
    Imaging techniques
    Costs
    Experiments

    Keywords

    • feature selection
    • dimensionality reduction
    • tabu search
    • 1-NN classifier
    • prostate cancer classification

    Cite this

    Tahir, MA., Bouridane, A., Kurugollu, F., & Amira, A. (2005). A novel prostate cancer classification technique using intermediate memory tabu search. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2005(14), 2241-2249.
    Tahir, MA ; Bouridane, A ; Kurugollu, F ; Amira, A. / A novel prostate cancer classification technique using intermediate memory tabu search. In: EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING. 2005 ; Vol. 2005, No. 14. pp. 2241-2249.
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    Tahir, MA, Bouridane, A, Kurugollu, F & Amira, A 2005, 'A novel prostate cancer classification technique using intermediate memory tabu search', EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, vol. 2005, no. 14, pp. 2241-2249.

    A novel prostate cancer classification technique using intermediate memory tabu search. / Tahir, MA; Bouridane, A; Kurugollu, F; Amira, A.

    In: EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, Vol. 2005, No. 14, 08.2005, p. 2241-2249.

    Research output: Contribution to journal › Article

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    Tahir MA, Bouridane A, Kurugollu F, Amira A. A novel prostate cancer classification technique using intermediate memory tabu search. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING. 2005 Aug;2005(14):2241-2249.