Cancer cells detection and pathology quantification utilizing image analysis techniques

dc.creator	Goudas, T.	en
dc.creator	Maglogiannis, I.	en
dc.date.accessioned	2015-11-23T10:28:43Z
dc.date.available	2015-11-23T10:28:43Z
dc.date.issued	2012
dc.identifier	10.1109/EMBC.2012.6346946
dc.identifier.isbn	9781424441198
dc.identifier.issn	1557170X
dc.identifier.uri	http://hdl.handle.net/11615/28079
dc.description.abstract	This paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images utilizing adaptive thresholding and a Support Vector Machines classifier. The segmentation results are also enhanced through a Majority Voting and a Watershed technique. The proposed tool was evaluated by experts on breast cancer images and the reported results were accurate and reproducible. © 2012 IEEE.	en
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84870800082&partnerID=40&md5=e8338a3edc4ce1a06f6c63911b8ea66f
dc.subject	Adaptive thresholding	en
dc.subject	Apoptotic cells	en
dc.subject	Breast Cancer	en
dc.subject	Cancer cells	en
dc.subject	Image analysis techniques	en
dc.subject	Image analysis tools	en
dc.subject	Majority voting	en
dc.subject	Microscopy images	en
dc.subject	Segmentation results	en
dc.subject	Image analysis	en
dc.subject	Image segmentation	en
dc.subject	Medical imaging	en
dc.subject	Diseases	en
dc.title	Cancer cells detection and pathology quantification utilizing image analysis techniques	en
dc.type	conferenceItem	en

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