Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/2832
Τίτλος: An image analysis system for automated detection of breast cancer nuclei
Συγγραφείς: Tsapatsoulis, Nicolas 
Schnorrenberg, Frank 
Pattichis, Constantinos S. 
Kollias, Stefanos D. 
Major Field of Science: Medical and Health Sciences
Field Category: Clinical Medicine
Λέξεις-κλειδιά: Biopsy;Breast cancer;Cancer detection;Feature extraction;Image analysis;Multi-layer neural network;Neural networks;Singular value decomposition
Ημερομηνία Έκδοσης: 1997
Πηγή: IEEE International Conference on Image Processing, 1997, Santa Barbara, California, USA, 26-29 October
Conference: IEEE International Conference on Image Processing 
Περίληψη: 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 
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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