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IJSDR
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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Impact factor: 8.15

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Paper Title: Analysis of Osteoarthritis in Knee X-Ray Image
Authors Name: Shashikala R , Divya.M.Shetty , Anupa , Deepikaraj Ballal , Rakshitha
Unique Id: IJSDR1706063
Published In: Volume 2 Issue 6, June-2017
Abstract: Osteoarthritis (OA) is a common disease in human. Under various joints such as knee, hips, hand and wrist. It is the stage of human bone in which the joints of human body become damaged and stop moving freely which causes pain. Due to the increasing prevalence of knee Osteoarthritis and related effects on functional limitation, reduced health related quality of life, health care utilization and total joint arthroplasty, there is a growing need for clinical and scientific tools that can reliably detect knee OA early in its development. The scenario for the evaluation of Osteoarthritis includes clinical examination and various medical imaging techniques. We describe a method to detect Osteoarthritis from knee X-Ray images. The detection is based on the thickness of cartilage in knee bone, which corresponds to possibility of Osteoarthritis. Here we have used active contour segmentation technique to segment the part of the knee X-Ray image. The various features like Haralik, Statistical, First Four Moments, Texture and Shape Features are computed and classified. However, these are based on the presence or size of Osteophytes and the degree of joint space narrowing as assessed by human readers.
Keywords: Osteoarthritis, X-ray images, Active contour segmentation, Feature Extraction, Classification
Cite Article: "Analysis of Osteoarthritis in Knee X-Ray Image", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.416 - 422, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706063.pdf
Downloads: 000336257
Publication Details: Published Paper ID: IJSDR1706063
Registration ID:170535
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 416 - 422
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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