Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46489
Title: Computer vision techniques for breast tumor ultrasound analysis
Authors: Aleman-Flores, Miguel 
Aleman-Flores, Patricia 
Álvarez-Leon, Luis 
Fuentes-Pavón, Rafael
Santana-Montesdeoca, José M.
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120304 Inteligencia artificial
32 Ciencias médicas
Keywords: Breast cancer
Computer-aided diagnosis
Ultrasound
Issue Date: 2008
Project: Tin2005-02004/. Caracterizacion Ecografica de Tumores de Mama Asistida Por Ordenador 
Journal: Breast Journal 
Abstract: In this paper, we present a new approach to the segmentation and analysis of solid breast nodules in ultrasonography. We have applied computer vision techniques to segment the nodules and analyze a series of diagnostic criteria which can help discriminate malignant and benignant tumors. The segmentation is carried out in a semiautomatic way, whereas the analysis of the diagnostic criteria involves several computational methods. The techniques which we propose have provided quite satisfactory results and show the usefulness of image processing in the diagnosis through medical imaging.
URI: http://hdl.handle.net/10553/46489
ISSN: 1075-122X
DOI: 10.1111/j.1524-4741.2008.00626.x
Source: Breast Journal [ISSN 1075-122X], v. 14 (5), p. 483-486
Appears in Collections:Artículos
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