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Conference Paper: Segmentation of pathology microscopic images
Title | Segmentation of pathology microscopic images |
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Authors | |
Keywords | Medical sciences Computer applications |
Issue Date | 1997 |
Publisher | IEEE. |
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? |
Abstract | The 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 Identifier | http://hdl.handle.net/10722/46053 |
ISSN | 2020 SCImago Journal Rankings: 0.282 |
DC Field | Value | Language |
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dc.contributor.author | Zhu, H | en_HK |
dc.contributor.author | Chan, FHY | en_HK |
dc.contributor.author | Lam, FK | en_HK |
dc.contributor.author | Lam, KY | en_HK |
dc.date.accessioned | 2007-10-30T06:41:31Z | - |
dc.date.available | 2007-10-30T06:41:31Z | - |
dc.date.issued | 1997 | en_HK |
dc.identifier.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 | en_HK |
dc.identifier.issn | 1557-170X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/46053 | - |
dc.description.abstract | The 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.extent | 245574 bytes | - |
dc.format.extent | 13817 bytes | - |
dc.format.extent | 8841 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
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. | - |
dc.subject | Medical sciences | en_HK |
dc.subject | Computer applications | en_HK |
dc.title | Segmentation of pathology microscopic images | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=2&spage=580&epage=581&date=1997&atitle=Segmentation+of+pathology+microscopic+images | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/IEMBS.1997.757676 | en_HK |
dc.identifier.hkuros | 34836 | - |
dc.identifier.issnl | 1557-170X | - |