Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46488
Title: Filtering, segmentation and feature extraction in ultrasound evaluation of breast lesions
Authors: Alemán-Flores, Miguel 
Alemán-Flores, Patricia
Álvarez-León, Luis 
Fuentes-Pavón, Rafael
Santana-Montesdeoca, José M.
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
32 Ciencias médicas
Keywords: Feature extraction
Image processing
Mammography
Medical imaging
Ultrasonics
Issue Date: 2008
Journal: Informatik aktuell
Conference: Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2008 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2008 
Abstract: The early diagnosis of breast cancer depends in many cases on the analysis of medical imaging, mainly mammography, ultrasonography and MRI. This work deals with ultrasound images in order to reduce speckle noise, identify the contour of the nodules and analyze a wide range of criteria which allow distinguishing between benign and malignant tumors. We try to automatize the different phases of the process and extract some objective parameters for a robust and reproducible diagnosis. We provide the physicians with both graphical as well as numerical results for the features which have been analyzed.
URI: http://hdl.handle.net/10553/46488
ISBN: 978-3-540-78639-9
978-3-540-78640-5
ISSN: 1431-472X
DOI: 10.1007/978-3-540-78640-5_34
Source: Informatik aktuell [ISSN 1431-472X], p. 168-172
Appears in Collections:Actas de congresos
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