UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905706


Registration ID:
207693

Page Number

50-51

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Title

Detection and prediction of Osteoporosis using Image Processing Techniques: A Literature Review

Abstract

Osteoporosis is a skeletal disease caused by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. By using bone densitometer, we get the values of bone density in terms of T-score and based on T-score values bone is determined to be a normal bone or a osteoporosis/ osteopenia bone. IDEXA machines are used for obtaining accurate result and KNN Classifier algorithm together can differentiate between osteoporosis and osteopenia.

Key Words

Osteoporosis, Osteopenia, BMD, IDEXA, KNN Classifier.

Cite This Article

"Detection and prediction of Osteoporosis using Image Processing Techniques: A Literature Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.50-51, May-2019, Available :http://www.jetir.org/papers/JETIR1905706.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Detection and prediction of Osteoporosis using Image Processing Techniques: A Literature Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp50-51, May-2019, Available at : http://www.jetir.org/papers/JETIR1905706.pdf

Publication Details

Published Paper ID: JETIR1905706
Registration ID: 207693
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.21894
Page No: 50-51
Country: MUMBAI, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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