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dc.contributor.authorChen, Qi
dc.contributor.authorTaylor, Andrew J.
dc.date.accessioned2009-08-23T04:39:05Z
dc.date.accessioned2020-05-25T06:24:04Z-
dc.date.available2009-08-23T04:39:05Z
dc.date.available2020-05-25T06:24:04Z-
dc.date.issued2006-10-27T07:18:02Z
dc.date.submitted1996-12-19
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2728-
dc.description.abstractIn this paper we present an approach for automatically recognising tubules and epithelial cell nuclei in renal biopsy sections. This approach employs image processing methods, histological knowledge and machine learning techniques. Potential applications of this work include the diagnosis of tubulitis, renal allograft rejection and other renal lesions.
dc.description.sponsorship中山大學,高雄市
dc.format.extent7p.
dc.format.extent1194674 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1996 ICS會議
dc.subject.otherMedical Image Processing
dc.titleSegmentation of Renal Tubules by Knowledge-guided Image Analysis
分類:1996年 ICS 國際計算機會議

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