Advanced cancer cell characterization and quantification of microscopy images

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	10.1007/978-3-642-30448-4_40
dc.identifier.isbn	9783642304477
dc.identifier.issn	3029743
dc.identifier.uri	http://hdl.handle.net/11615/28080
dc.description.abstract	In this paper we present an advanced image analysis tool for the accurate characterization and quantification of cancer and apoptotic cells in microscopy images. Adaptive thresholding and Support Vector Machines classifiers were utilized for this purpose. The segmentation results are improved through the application of morphological operators such as Majority Voting and a Watershed technique. The proposed tool was evaluated on breast cancer images by medical experts and the results were accurate and reproducible. © 2012 Springer-Verlag.	en
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84861715407&partnerID=40&md5=57afd5fd0337d6c8f6fdae0ee12b8edb
dc.subject	Adaptive Thresholding	en
dc.subject	Breast Cancer	en
dc.subject	Cancer cell	en
dc.subject	Image Analysis	en
dc.subject	MCF-7	en
dc.subject	SVM	en
dc.subject	Watershed	en
dc.subject	Cancer cells	en
dc.subject	Artificial intelligence	en
dc.subject	Cells	en
dc.subject	Diseases	en
dc.subject	Image segmentation	en
dc.subject	Support vector machines	en
dc.subject	Watersheds	en
dc.subject	Medical imaging	en
dc.title	Advanced cancer cell characterization and quantification of microscopy images	en
dc.type	other	en

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