Cervical Cancer Detection: A Literature Survey

Authors

  • V. Pushpalatha Research Scholar, Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • S. Sathiamoorthy Assistant Professor, Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • M. Kamarasan Assistant Professor, Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajes-2018.7.2.2280

Keywords:

Cervical Cancer, Denoising, Classification, Segmentation

Abstract

Cervical cancer is more common in women and worldwide it is most feared disease. Due to abnormal growth in the cervix cells, cervical cancer occurs and slowly it also spreads to the other organs of human body. Cervical cancer is caused by number reasons like human papilloma virus, using birth control pills, cigarette smoking, etc. In the initial stage, cervical cancer will not show any signs. However, if it is identified in earlier stage, it will be cured successfully. Nowadays, number of computer vision based approaches has been introduced to identify the cervical cancer disease and its stages. Still more research in this domain is ongoing towards getting high accuracy in the disease and stage prediction. In this paper, we studied a detailed literature on recognition of cervical cancer in connection with computer vision approaches.

References

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Published

20-08-2018

How to Cite

Pushpalatha, V., Sathiamoorthy, S., & M. Kamarasan. (2018). Cervical Cancer Detection: A Literature Survey. Asian Journal of Electrical Sciences, 7(2), 24–27. https://doi.org/10.51983/ajes-2018.7.2.2280