Enactment Valuation of Carcinoma with Segmentation Methods by Statistical Analysis

Enactment Valuation of Carcinoma with Segmentation Methods by Statistical Analysis

AUTHOR

  • S AZARUDEEN, A.C DHIV
  • SUBMITTED

  • 2020
  • PUBLISHED MONTH

  • November-December
  • ARTICLE TYPE

  • Research
  • DOWNLOAD

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    STATICS

    ABSTRACT


    Carcinoma is the most deadly disease of which Lung cancer
    and Breast cancer are of high risk. This approach target at diagnosing
    carcinoma by considering certain techniques. In this approach, a
    mammogram image and microscopic Lung image are considered. These
    images are applied through different image segmentation techniques.
    Later, Binarization technique is applied to improve the contrast of the
    images within the affected area. Median filter is used for removing noise
    within the image. To the noise-free images, some of the statistical
    parameters are calculated. Correlation is calculated between the
    reference parameters and cancerous parameters. These approaches are
    done for the detection of cancer in statistical approach. Results are
    processed using MATLAB and Xilinx.
    Keywords: Segmentation, Binarization, Carcinoma, Mammogram,
    Mean, Variance, Standard Deviation.

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    Enactment Valuation of Carcinoma with Segmentation Methods by Statistical Analysis