UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1907532


Registration ID:
220293

Page Number

494-498

Share This Article


Jetir RMS

Title

A SURVEY ON BONE AGE ASSESSMENT USING DATA MINING

Abstract

Bone age assessment is employed to radiologically review the biological and structural maturity of immature patients from the hand and wrist and hand X-Ray appearances. It forms a crucial a part of the diagnostic and management pathway in children with growth and endocrine disorders. It’s useful within the diagnosing of varied growth disorders and may offer a prediction of ultimate height for patients presenting with short stature. BAA is performed sometimes by examination associate X-Ray of hand wrist with associate atlas of far-framed sample bones. Recently, BAA has gained outstanding ground from world and medication. Manual ways of BAA are long and susceptible to observer variability. This can be a motivation for developing machine driven ways of BAA. However, there’s good analysis on the machine driven assessment. This survey provides taxonomy of machine driven BAA approaches and discusses the challenges. Finally, we have a tendency to best one through results and discussions.

Key Words

BAA, Radiology, Radiography, SVM and NN

Cite This Article

"A SURVEY ON BONE AGE ASSESSMENT USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.494-498, June 2019, Available :http://www.jetir.org/papers/JETIR1907532.pdf

ISSN


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

"A SURVEY ON BONE AGE ASSESSMENT USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp494-498, June 2019, Available at : http://www.jetir.org/papers/JETIR1907532.pdf

Publication Details

Published Paper ID: JETIR1907532
Registration ID: 220293
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 494-498
Country: Tiruppur, Tamilnadu, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002797

Print This Page

Current Call For Paper

Jetir RMS