Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/4834
Title: An image analysis system for automated detection of breast cancer nuclei
Authors: Tsapatsoulis, Nicolas 
Schnorrenberg, Frank 
Pattichis, Constantinos 
Kollias, Stefanos D. 
Keywords: Biopsy;Breast cancer;Cancer detection;Feature extraction;Image analysis;Multi-layer neural network;Neural networks;Singular value decomposition
Category: Clinical Medicine
Field: Medical and Health Sciences
Issue Date: 1997
Publisher: IEEE
Source: IEEE International Conference on Image Processing, 1997, Santa Barbara, California, USA, 26-29 October
Conference: IEEE International Conference on Image Processing 
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/10488/4834
ISBN: 0-8186-8183-7
DOI: 10.1109/ICIP.1997.632170
Collaboration : National Technical University Of Athens
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers - poster -presentation

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