NDLI: Study and theoretical investigations on PCOS

Content Provider	IEEE Xplore Digital Library
Author	Sheela, S. Sumathi, M.
Copyright Year	2014
Description	Author affiliation: Sathyabama Univ., Chennai, India (Sumathi, M.) \|\| ECE, Sathyabama Univ., Chennai, India (Sheela, S.)
Abstract	Poly Cystic Ovary Syndrome (PCOS) is an endocrine disorder affecting many women in their reproductive age groups related with these problems of infertility, diabetes mellitus and cardiovascular disease. Diagnosis of the condition is mostly done by imaging parameters. Ultrasound imaging has become a very important technology in diagnosis of PCOS. Due to overlapping of the follicles, inherent noise of the equipment and lack of operator knowledge as it is largely an experience dependent procedure, the characteristic appearance of the image becomes more challenging and making the diagnosis process time consuming. Due to the above factors, accuracy in detection of cysts is affected. Therefore, the Early as well as Accurate Detection of Abnormalities in Women's Reproductive System is required before the treatment process, to avoid Infertility. This paper overviews various methodologies proposed so far in terms of removal of speckle noise, extraction of region of interest using segmentation, classification of images so as to achieve maximum accuracy in detection of cyst in short period of time.
Starting Page	1
Ending Page	5
File Size	324468
Page Count	5
File Format	PDF
ISBN	9781479939749
e-ISBN	9781479939756
DOI	10.1109/ICCIC.2014.7238394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-18
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Poly Cystic Ovary Syndrome Ultrasonic imaging Wiener filters Speckle noise Segmentation Noise Transforms Classification Speckle Ultrasound images Enhancement
Content Type	Text
Resource Type	Article

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