Image analysis system for automated detection of breast cancer nuclei

Tsapatsoulis, Nicolas; Schnorrenberg, Frank; Pattichis, Costas; Kollias, Stefanos

dc.contributor.author	Tsapatsoulis, Nicolas	en
dc.contributor.author	Schnorrenberg, Frank	en
dc.contributor.author	Pattichis, Costas	en
dc.contributor.author	Kollias, Stefanos	en
dc.date.accessioned	2014-03-01T02:41:18Z
dc.date.available	2014-03-01T02:41:18Z
dc.date.issued	1997	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30454
dc.subject	Image Analysis	en
dc.subject	Singular Value	en
dc.subject	Singular Value Decomposition	en
dc.subject	Breast Cancer	en
dc.subject	Neural Network	en
dc.subject.other	Algorithms	en
dc.subject.other	Expert systems	en
dc.subject.other	Image analysis	en
dc.subject.other	Neural networks	en
dc.subject.other	Oncology	en
dc.subject.other	Vectors	en
dc.subject.other	Breast cancer nuclei detection	en
dc.subject.other	Singular value decomposition method	en
dc.subject.other	Medical imaging	en
dc.title	Image analysis system for automated detection of breast cancer nuclei	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.1997.632170	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.1997.632170	en
heal.publicationDate	1997	en
heal.abstract	A study for breast cancer nuclei detection is presented in this paper. The proposed algorithm determines the centers of nuclei in biopsy images using block-based processing of the images followed by singular value decomposition of each block. The Normalized Singular Value Vector, which consists of the normalized singular values of the block in decreasing order, is fed as input to an appropriate neural network which classifies the block into nuclei and background ones. Examples are presented which illustrate the ability of the proposed technique to model the knowledge provided by experts in the nuclei detection task.	en
heal.publisher	IEEE Comp Soc, Los Alamitos, CA, United States	en
heal.journalName	IEEE International Conference on Image Processing	en
dc.identifier.doi	10.1109/ICIP.1997.632170	en
dc.identifier.volume	3	en
dc.identifier.spage	512	en
dc.identifier.epage	515	en