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Research Article

Enactment Valuation of Carcinoma with Segmentation Methods by Statistical Analysis

Open Access Peer Reviewed

Authors

  • S Azarudeen1
  • A.C Dhiv2

1M.Tech Scholar, ECE Department, IMS Engg College, UP, India. 2Assistant Professor, ECE Department, IMS EnggCollege, UP, India.

Article Information

DOI
No DOI
Published Online
May-June 2020
Pages
12-13
Article Type
Research Article
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No DOI available for cross-reference

References

[1] A. Jemal, R. Siegel, E.Ward, Y. Hao, J. Xu, and M. J. Thun,“Cancer statistics, 2009,” CA: Cancer Journal for Clinicians,vol. 59, no. 4, pp. 225–249,2009.
[2] Welch, H. G., Prorok, P. C., O’Malley, A. J., & Kramer, B. S. (2016). Breast-cancer tumor size, overdiagnosis, and mammography screening effectiveness. New England Journal of Medicine, 375(15), 1438-1447.
[3] Litjens, G., Sánchez, C. I., Timofeeva, N., Hermsen, M., Nagtegaal, I., Kovacs, I., ...& Van Der Laak, J. (2016). Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis. Scientific reports,6, 26286.
[4] Kumar R., Srivastava R., Srivastava S. “Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features” Proc of Journal of Medical Engineering, Volume 2015 (2015), Article ID 457906, 14pages.
[5] Srivaramangai, R., Hiremath, P., &Patil, A. S. (2017). Preprocessing mri images of colorectal cancer. International Journal of Computer Science Issues (IJCSI),14(1), 48.
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