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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Volume 9 | Issue 4

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Paper Title:	Detection of Ovarian Cyst in Ultrasound Images using Super pixel segmentation method
Authors Name:	Christy Esther S , Mohanasundaram K , Joanna Blessy
Unique Id:	IJSDR2004036
Published In:	Volume 5 Issue 4, April-2020
Abstract:	Detection of cyst in the ovary is as essential as to treat the patient with Polycystic Ovarian Syndrome (PCOS). Manual methods to diagonise an ovarian cyst in ultrasound image have always produced results with some error. Many automated algorithms have been used for ovarian cyst detection in ultrasound images. This paper discusses the detection of cyst in ovarian ultrasound image with an accuracy reaching 90%, using the super pixel Algorithm.
Keywords:	Cyst detection, Ovarian cyst, Polycystic ovarian syndrome, super pixel algorithm.
Cite Article:	"Detection of Ovarian Cyst in Ultrasound Images using Super pixel segmentation method ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 4, page no.213 - 215, April-2020, Available :http://www.ijsdr.org/papers/IJSDR2004036.pdf
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Publication Details:	Published Paper ID: IJSDR2004036 Registration ID:191606 Published In: Volume 5 Issue 4, April-2020 DOI (Digital Object Identifier): Page No: 213 - 215 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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