Image analysis system for automated detection of breast cancer nuclei

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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 http://hdl.handle.net/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

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