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Conference Paper: Segmentation of pathology microscopic images

TitleSegmentation of pathology microscopic images
Authors
KeywordsMedical sciences
Computer applications
Issue Date1997
PublisherIEEE.
Citation
The 19th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Chicago, Illinois, USA, 30 October - 2 November 1997, v. 2, p. 580-581 How to Cite?
AbstractThe light microscopic analysis of the number and shape of cells in pathology is important for the diagnosis and assessment of clinical behavior of disease conditions. The fundamental step of this work is to separate the cells from the background. To segment objects from such uneven background images, a fixed threshold is not suitable. The authors have proposed a new adaptive thresholding method using variational theory. In this paper, this method is introduced to segment pathological images under the light microscope. The comparison of the segmentation results of the authors' method and Otsu's (1979) thresholding method shows the advantage of the authors' method.
Persistent Identifierhttp://hdl.handle.net/10722/46053
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhu, Hen_HK
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorLam, FKen_HK
dc.contributor.authorLam, KYen_HK
dc.date.accessioned2007-10-30T06:41:31Z-
dc.date.available2007-10-30T06:41:31Z-
dc.date.issued1997en_HK
dc.identifier.citationThe 19th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Chicago, Illinois, USA, 30 October - 2 November 1997, v. 2, p. 580-581en_HK
dc.identifier.issn1557-170Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46053-
dc.description.abstractThe light microscopic analysis of the number and shape of cells in pathology is important for the diagnosis and assessment of clinical behavior of disease conditions. The fundamental step of this work is to separate the cells from the background. To segment objects from such uneven background images, a fixed threshold is not suitable. The authors have proposed a new adaptive thresholding method using variational theory. In this paper, this method is introduced to segment pathological images under the light microscope. The comparison of the segmentation results of the authors' method and Otsu's (1979) thresholding method shows the advantage of the authors' method.en_HK
dc.format.extent245574 bytes-
dc.format.extent13817 bytes-
dc.format.extent8841 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectMedical sciencesen_HK
dc.subjectComputer applicationsen_HK
dc.titleSegmentation of pathology microscopic imagesen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=2&spage=580&epage=581&date=1997&atitle=Segmentation+of+pathology+microscopic+imagesen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/IEMBS.1997.757676en_HK
dc.identifier.hkuros34836-

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