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    A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves (2017)

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    Type of Content
    Conference Contributions - Published
    UC Permalink
    http://hdl.handle.net/10092/14606
    DOI
    https://doi.org/10.1007/978-3-319-60964-5_34
    Publisher
    Springer Verlag (Germany)
    ISBN
    978-3-319-60964-5
    ISSN
    1865-0929
    Collections
    • Engineering: Conference Contributions [2134]
    Authors
    Mukundan Rshow all
    Abstract

    This paper presents a novel feature descriptor and classification algorithms for automated scoring of HER2 in Whole Slide Images (WSI). Since a large amount of processing is involved in analyzing WSI images, the primary design goal has been to keep the computational complexity to the minimum possible level. We propose an efficient method based on characteristic curves which encode all relevant information in a smooth polynomial curve with the percentage of stained membranes plotted against variations in intensity/saturation of the colour thresholds used for segmentation. Our algorithm performed exceedingly well at a recent online contest held by the University of Warwick [1], obtaining the second best points score of 390 out of 420 and the overall seventh position in the combined leaderboard [2]. The paper describes three classification algorithms with features extracted from characteristic curves and provides experimental results and comparative analysis

    Citation
    Mukundan R (2017). A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves. University of Edinburgh: Medical Image Understanding and Analysis. 11/07/2017-13/07/2017. Communications in Computer and Information Science. 723. 386-397.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    Whole Slide Image processing; Automated HER2 scoring; Medical image classification; Characteristic curves; Digital pathology
    ANZSRC Fields of Research
    46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing
    11 - Medical and Health Sciences::1112 - Oncology and Carcinogenesis::111202 - Cancer Diagnosis
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320202 - Clinical chemistry (incl. diagnostics)
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320220 - Pathology (excl. oral pathology)
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