Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2004.1334632
Title: Detecting femur fractures by texture analysis of trabeculae
Authors: Yap, D.W.-H.
Chen, Y.
Leow, W.K. 
Howe, T.S.
Png, M.A.
Issue Date: 2004
Source: Yap, D.W.-H.,Chen, Y.,Leow, W.K.,Howe, T.S.,Png, M.A. (2004). Detecting femur fractures by texture analysis of trabeculae. Proceedings - International Conference on Pattern Recognition 3 : 730-733. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2004.1334632
Abstract: 30% of women and 13% of men worldwide suffer from osteoporotic bone fractures worldwide. In large hospitals, doctors need to visually inspect a large number of x-ray images to identify the fracture cases, which typically constitute about 12% of all the x-ray images examined. Automated fracture detection can help to screen for obvious cases and flag suspicious cases for closer examinations. This paper describes a method of detecting femur fractures by analyzing trabecular texture patterns. Test results show that it is more accurate than an existing method based on neck-shaft angle. Moreover, combining the methods further improve of the overall performance of fracture detection.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/40805
ISBN: 0769521282
ISSN: 10514651
DOI: 10.1109/ICPR.2004.1334632
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

18
checked on Jan 9, 2018

Page view(s)

39
checked on Jan 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.