Computerized ultrasound characterization of breast tumors

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 segment...

Full description

Saved in:
Bibliographic Details
Published in:International Congress series 2005-05, Vol.1281, p.1063-1068
Main Authors: Alemán-Flores, M., Alemán-Flores, P., Álvarez-León, L., Esteban-Sánchez, M.B., Fuentes-Pavón, R., Santana-Montesdeoca, J.M.
Format: Article
Language:English
Subjects:
Active contours
Breast cancer
Computer-aided diagnosis
Segmentation
Ultrasound
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 by means of a combination of a region growing algorithm and the active contour technique. On the other hand, the analysis of the diagnostic criteria involves several methods, such as the extraction of the minimum distance ellipse through gradient descent, pseudo-corner location or structure tensor. The methods that we propose have provided quite satisfactory results and show the usefulness of image processing techniques in the diagnosis by means of medical imaging. The aim of this work is not the substitution of the specialist, but the generation of a series of parameters which reduce the need of carrying out the biopsy.
ISSN:0531-5131
1873-6157
DOI:10.1016/j.ics.2005.03.157