Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39343
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dc.titleComputing neck-shaft angle of femur for X-ray fracture detection
dc.contributor.authorTian, T.P.
dc.contributor.authorChen, Y.
dc.contributor.authorLeow, W.K.
dc.contributor.authorHsu, W.
dc.contributor.authorHowe, T.S.
dc.contributor.authorPng, M.A.
dc.date.accessioned2013-07-04T07:39:30Z
dc.date.available2013-07-04T07:39:30Z
dc.date.issued2003
dc.identifier.citationTian, T.P.,Chen, Y.,Leow, W.K.,Hsu, W.,Howe, T.S.,Png, M.A. (2003). Computing neck-shaft angle of femur for X-ray fracture detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2756 : 82-89. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39343
dc.description.abstractWorldwide, 30%-40% of women and 13% of men suffer from osteoporotic fractures of the bone, particularly the older people. Doctors in the hospitals need to manually inspect a large number of x-ray images to identify the fracture cases. Automated detection of fractures in x-ray images can help to lower the workload of doctors by screening out the easy cases, leaving a small number of difficult cases and the second confirmation to the doctors to examine more closely. To our best knowledge, such a system does not exist as yet. This paper describes a method of measuring the neck-shaft angle of the femur, which is one of the main diagnostic rules that doctors use to determine whether a fracture is present at the femur. Experimental tests performed on test images confirm that the method is accurate in measuring neck-shaft angle and detecting certain types of femur fractures. © Springer-Verlag Berlin Heidelberg 2003.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume2756
dc.description.page82-89
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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