Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6913
Title: Image analysis system for automated detection of breast cancer nuclei
Authors: Tsapatsoulis, Nicolas 
Schnorrenberg, Frank
Pattichis, Constantinos 
Keywords: Image processing
Image analysis
Expert systems (Computer science)
Neural networks
Oncology
Breast--Cancer
Computer science
Issue Date: 1997
Publisher: IEEE Xplore
Source: Proceedings of the international conference on image processing. Part 2 (of 3), 26-29 October 1997, Santa Barbara, CA, USA
Abstract: A study for breast cancer nuclei detection is presented. 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 the 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
URI: http://ktisis.cut.ac.cy/handle/10488/6913
DOI: 10.1109/ICIP.1997.632170
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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