Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2832
Title: An image analysis system for automated detection of breast cancer nuclei
Authors: Tsapatsoulis, Nicolas 
Schnorrenberg, Frank 
Pattichis, Constantinos S. 
Kollias, Stefanos D. 
Major Field of Science: Medical and Health Sciences
Field Category: Clinical Medicine
Keywords: Biopsy;Breast cancer;Cancer detection;Feature extraction;Image analysis;Multi-layer neural network;Neural networks;Singular value decomposition
Issue Date: 1997
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: https://hdl.handle.net/20.500.14279/2832
ISBN: 0-8186-8183-7
DOI: 10.1109/ICIP.1997.632170
Type: Conference Papers
Affiliation : National Technical University Of Athens 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

Page view(s) 50

545
Last Week
1
Last month
1
checked on Nov 6, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.