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Automatic Tools for Diagnosis Support of Total Hip Replacement Follow-upFLOREA, L. , FLOREA, C. , VERTAN, C. , SULTANA, A.
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biomedical image processing, feature extraction, image enhancement, prosthetics, X-rays
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
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.
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 Low-complexity PDE-based approach for automatic microarray image processing, Belean, Bogdan, Terebes, Romulus, Bot, Adrian, Medical & Biological Engineering & Computing, ISSN 0140-0118, Issue 2, Volume 53, 2015.
Digital Object Identifier: 10.1007/s11517-014-1214-2 [CrossRef]
 A Comparison of X-Ray Image Segmentation Techniques, STOLOJESCU-CRISAN, C., HOLBAN, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03014 [CrossRef] [Full text]
 Software tools for medical diagnosis support automatic interpretation of digital X-ray films, Vertan, Constantin, Florea, Corneliu, Florea, Laura, Sultana, Alina, 2013 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4799-2373-1, 2013.
Digital Object Identifier: 10.1109/EHB.2013.6707395 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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