Detection of Follicles In Polycystic Ovaries - A Review

Authors

  • P Raja Rajeswari Chandni  PG Scholar, Department of Biomedical Instrumentation Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India.

Keywords:

Hyperinsulinemia, Abdominal Obesity, Hypertension Dyslipidemia, Breast Cancer, Cardiovascular Diseases.

Abstract

Polycystic Ovaries in females has become a very common disease in this 21st century. This obstructs the natural fertility of the female and causes many issues like hyperinsulinemia, abdominal obesity, hypertension dyslipidemia, breast cancer and cardiovascular diseases. The effective method to diagnose this disorder is the pelvic ultrasound scan, which gives a picture of the number of small cysts in the periphery of the ovaries. In the conventional method, manual assessment of the follicles is made by the sonologist, later verified by the second person. There are many possibilities for overlapping of the follicles during sonography, which can lead to the inappropriate diagnosis. Due to this inconvenience automatic detection and follicle counting methods using image processing applications are on the role of deciding on the disorder. This paper surveys various applications and their comparative study to diagnose the ultrasound images of the ovary. Performances of some of the previous works are identified and compared for future research directions to improve on some of the observed limitations.

References

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International Journal of Scientific Research in Science and Technology

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Published

2020-03-05

Issue

Volume 5, Issue 5, March-April-2020

Section

Research Articles

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How to Cite

[1]
P Raja Rajeswari Chandni, " Detection of Follicles In Polycystic Ovaries - A Review, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 5, pp.05-11, March-April-2020.