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Title: Segmentation and analysis of breast tumors on ultrasonography
Authors: Alemán-Flores, Miguel 
Alemán-Flores, Patricia
Álvarez-Leon, Luis 
Esteban-Sánchez, M. Belén
Fuentes-Pavon, Rafael
Santana-Montesdeoca, José M.
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
32 Ciencias médicas
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Keywords: Extraction
Medical imaging
Ultrasonic applications
Issue Date: 2005
Journal: Informatik aktuell
Conference: Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2005 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2005 
Abstract: Ultrasonography provides some criteria which help the physicians decide whether a certain solid tumor is benign or malignant. However, it is one of the most difficult types of images to assess. The automatic segmentation and analysis of ultrasonography can help the physicians by providing some techniques and measures to classify the tumors. In this paper, we present a new approach in the segmentation of ultrasound images of breast nodules, based on active contours technique. Moreover, we present a common framework for the extraction of a set of robust, reproducible and precise parameters, by means of computer vision tehniques, such as ellipse location, corner extraction or gradient estimation.
ISBN: 978-3-540-25052-4
ISSN: 1431-472X
DOI: 10.1007/3-540-26431-0_42
Source: Informatik aktuell [ISSN 1431-472X], p. 203-207
Appears in Collections:Actas de congresos
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