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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2011 - 9

 HIGHLY CITED PAPER 

Automatic Tools for Diagnosis Support of Total Hip Replacement Follow-up

FLOREA, L. See more information about FLOREA, L. on SCOPUS See more information about FLOREA, L. on IEEExplore See more information about FLOREA, L. on Web of Science, FLOREA, C. See more information about  FLOREA, C. on SCOPUS See more information about  FLOREA, C. on SCOPUS See more information about FLOREA, C. on Web of Science, VERTAN, C. See more information about  VERTAN, C. on SCOPUS See more information about  VERTAN, C. on SCOPUS See more information about VERTAN, C. on Web of Science, SULTANA, A. See more information about SULTANA, A. on SCOPUS See more information about SULTANA, A. on SCOPUS See more information about SULTANA, A. on Web of Science
 
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Download PDF pdficon (1,218 KB) | Citation | Downloads: 1,535 | Views: 5,457

Author keywords
biomedical image processing, feature extraction, image enhancement, prosthetics, X-rays

References keywords
image(9), processing(5), images(5), analysis(5), pattern(4), medical(4), imaging(4), florea(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 55 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04009
Web of Science Accession Number: 000297764500009
SCOPUS ID: 84856590908

Abstract
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Full text preview
Total hip replacement is a common procedure in today orthopedics, with high rate of long-term success. Failure prevention is based on a regular follow-up aimed at checking the prosthesis fit and state by means of visual inspection of radiographic images. It is our purpose to provide automatic means for aiding medical personnel in this task. Therefore we have constructed tools for automatic identification of the component parts of the radiograph, followed by analysis of interactions between the bone and the prosthesis. The results form a set of parameters with obvious interest in medical diagnosis.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 14]


[14] C. Ying, Model-based approach for extracting femur contours in x-ray images, Ph.D. dissertation, National University of Singapore, 2005.

[15] F. Hatfield, F. Hall, R. King, E. Berry, P. Siney, and B. Wrobleski, "Image analysis of wear in total hip replacements," in Proceedings of Medical Image Understanding and Analysis (MIUA), Birmingham, Marea Britanie, 2001, pp. 127-131.

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[17] S. Kerrigan, S. J. McKenna, I. W. Ricketts, and C. A. Wigderowitz, "Automated assessment of polyethylene wear in cemented acetabular components using anteroposterior radiographs of total hip replacements," in Proceedings of the Computerized Medical Imaging and Graphics, vol. 32, no. 3, 2008, pp. 221-238.

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[CrossRef] [Web of Science Times Cited 26908] [SCOPUS Times Cited 32268]


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[CrossRef] [Web of Science Times Cited 1547] [SCOPUS Times Cited 1920]


[20] J. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. Norwell, MA, SUA: Kluwer Academic Publishers, 1981.

[21] D. Comaniciu and P. Meer, "Mean shift: a robust approach toward feature space analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603 - 619, 2002.
[CrossRef] [Web of Science Times Cited 7418] [SCOPUS Times Cited 9909]


[22] A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society, Series B, vol. 39, p. 1-38, 1977.

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[CrossRef] [PubMed] [Web of Science Times Cited 16702] [SCOPUS Times Cited 23549]


[26] A. Oprea and C. Vertan, "A quantitative evaluation of the hip prosthesis segmentation quality in X-ray images," in Proceedings of IEEE International Symposium on Signals, Circuits and Systems (ISSCS), vol. 1, Iasi, Romania, July 2007, pp. 197-200.

[27] M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," Journal of Electronic Imaging, vol. 13, no. 1, pp. 146-168, March 2004.
[CrossRef] [Web of Science Times Cited 2919] [SCOPUS Times Cited 3841]


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[29] M. Nixon and A. Aguado, Feature Extraction & Image Processing. Oxford, Great Britain: Newnes, Butterworth-Heinemann Linacre House, 2002.

References Weight

Web of Science® Citations for all references: 63,011 TCR
SCOPUS® Citations for all references: 80,066 TCR

Web of Science® Average Citations per reference: 2,173 ACR
SCOPUS® Average Citations per reference: 2,761 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-27 17:03 in 55 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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