A Review on Computer Assisted Follicle Detection Techniques and Polycystic Ovarian Syndrome (PCOS) Diagnostic Systems
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2015 by IJCTT Journal | ||
| Volume-28 Number-1 |
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| Year of Publication : 2015 | ||
| Authors : I. O. Rabiu, A. D. Usman, A. M. S. Tekanyi | ||
| DOI : 10.14445/22312803/IJCTT-V28P109 |
I. O. Rabiu, A. D. Usman, A. M. S. Tekanyi "A Review on Computer Assisted Follicle Detection Techniques and Polycystic Ovarian Syndrome (PCOS) Diagnostic Systems". International Journal of Computer Trends and Technology (IJCTT) V28(1):41-45, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Polycystic Ovarian Syndrome (PCOS) caused infertility in women if not diagnosed and treated early. Transvaginal ultrasound machine is a non-invasive method of imaging human ovary with the aim of revealing salient features necessary for PCOS diagnosis. Numbers of follicles and their sizes are the main features that characterize ovarian images. Hence, PCOS is diagnosed by counting the numbers of follicles and measuring their sizes manually. This process is laborious, prone to error and time consuming. This paper surveys various computer assisted techniques for the detection of follicles and PCOS diagnoses in the ultrasound images of the ovary. Performances of some of the previous works are identified and compared. Finally, future research directions to improve on some of the observed limitations are provided.
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Keywords
Polycystic Ovarian Syndrome, Follicle Detection, Ultrasound Machine, Diagnostic System, Ovary, Infertility.