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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