Application of an artificial neural network for the quantitative classification of trochlear dysplasia

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dc.contributor.authorCho K
dc.contributor.authorM�ller JH
dc.contributor.authorScheffer C
dc.contributor.authorErasmus PJ
dc.date.accessioned2014-07-07T12:29:01Z
dc.date.available2014-07-07T12:29:01Z
dc.date.issued2013
dc.descriptionPlease help populate SUNScholar with the full text of SU research output. Also - should you need this item urgently, please send us the details and we will try to get hold of the full text as quick possible. E-mail to scholar@sun.ac.za. Thank you.
dc.descriptionJournal Articles (subsidised)
dc.descriptionIngenieurswese
dc.descriptionMeganiese & Megatroniese Ingenieurswese
dc.identifier.citationJournal of Mechanics in Medicine and Biology
dc.identifier.citation13
dc.identifier.urihttp://hdl.handle.net/10019.1/94133
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD,
dc.titleApplication of an artificial neural network for the quantitative classification of trochlear dysplasia
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