Spatial analysis for colon biopsy classification from hyperspectral imagery

Article English OPEN
Masood, Khalid ; Rajpoot, Nasir M. (Nasir Mahmood) (2008)
  • Publisher: The British Machine Vision Association and Society for Pattern Recognition
  • Subject: RB | RC0254 | QA76

Automatic classification of histology images, the objective of our research, is aimed at supporting the pathologists in their diagnosis. In this paper, we present a comparative study between 3D spectral/spatial analysis (SSA) and 2D spatial analysis (SA) for the classification of colon biopsy samples from their hyperspectral images. Classification results suggest that textural analysis of 2D bands can achieve comparable performance to 3D spectral/spatial analysis.
  • References (24)
    24 references, page 1 of 3

    K. Alsabti, S. Ranka, and V. Singh. An efficient k-means clustering algorithm. Proceedings First Workshop on High-Performance Data Mining, 10(1), 1998.

    S. Aranganayagi and K. Thangavel. Clustering categorical data using silhouette coefficient P. Belhumeur, J. Hesponha, and D. Kriegman. Eigenfaces vs Fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):711-720, 1997.

    A. Bishnu, B. Bhattacharya, M. Kundu, C. Murthy, and T. Acharya. A pipeline architecture for computing the Euler number of a binary image. International Conference on Image Processing (ICIP), 3:310-313, 2001.

    L. Boucheron, Z. Bi, N. Harvey, B. Manjunath, and D. Rimm. Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery. BMC Cell Biology, 8(Suppl. 1):S8, 2007.

    S. Buhmann, P. Herzog, J. Liang, M. Wolf, M. Saiganicoff, C. Kirchhoff, M. Reiser, and C. Becker. Clinical evaluation of a computer-aided diagnosis (CAD) prototype for the detection of pulmonary embolism. Academic Radiology, 14(6):651-658, 2007.

    G. Davis, M. Maggioni, R. Coifman, R. Levinson, and D. Rimm. Spectral/spatial analysis of colon carcinoma. Modern Pathology, 16:3320-3321A, 2003.

    T. Fawcett. An introduction to ROC analysis. Pattern Recognition Letters, 27:861-874, 2006.

    A. Ferrandez and J.A. Disario. Colorectal cancer: Screening and surveillance for high-risk individuals. Expert Review of Anticancer Therapy, 3(6):851-862, 2003.

    D. Hidovic´-Rowe, E. Claridge, and T. Ismail. Analysis of multispectral images of the colon to reveal histological changes characteristic of cancer. Proceedings Medical Image Understanding and Analysis (MIUA), pages 66-70, 2006.

    R.S. Houlston. Molecular pathology of colorectal cancer. Journal of Clinical Pathology, 54: 206-214, 2001.

  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    16
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    Warwick Research Archives Portal Repository - IRUS-UK 0 16
Share - Bookmark