Cite this DOI

Kakara, D. A., & B.Leela Kumari (2019). Performance Assessment of Carcinoma With Segmentation Techniques By Statistical Analysis. *Journal of Science & Technology*, *04*(05), 07–17. https://doi.org/10.46243/jstj.2019.v4.i5.73

@article{kakara2019performance,
  author    = {Kakara, Deepika A. and B.Leela Kumari},
  title     = {{Performance Assessment of Carcinoma With Segmentation Techniques By Statistical Analysis}},
  journal   = {Journal of Science \& Technology},
  year      = {2019},
  month     = {sep},
  volume    = {04},
  number    = {05},
  pages     = {07--17},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jstj.2019.v4.i5.73},
  url       = {https://doi.org/10.46243/jstj.2019.v4.i5.73},
  language  = {en},
  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.}
}

TY  - JOUR
TI  - Performance Assessment of Carcinoma With Segmentation Techniques By Statistical Analysis
AU  - Kakara, Deepika A.
AU  - B.Leela Kumari
JO  - Journal of Science & Technology
PY  - 2019
DA  - 2019/09/02/
VL  - 04
IS  - 05
SP  - 07
EP  - 17
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - 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.
DO  - 10.46243/jstj.2019.v4.i5.73
UR  - https://doi.org/10.46243/jstj.2019.v4.i5.73
ER  -

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    "id": "10.46243/jstj.2019.v4.i5.73",
    "DOI": "10.46243/jstj.2019.v4.i5.73",
    "URL": "https://doi.org/10.46243/jstj.2019.v4.i5.73",
    "title": "Performance Assessment of Carcinoma With Segmentation Techniques By Statistical Analysis",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Kakara",
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            "family": "B.Leela Kumari"
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    "issued": {
        "date-parts": [
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                2019,
                9,
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    "volume": "04",
    "issue": "05",
    "page": "07-17",
    "publisher": "Longman Publishers",
    "language": "en",
    "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.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjstj.2019.v4.i5.73 gives all four in one JSON answer.