Segmentation and Analysis of Breast Tumors on Ultrasonography

  • Miguel Alemán-Flores
  • Patricia Alemán-Flores
  • Luis Álvarez-León
  • M. Belén Esteban-Sánchez
  • Rafael Fuentes-Pavón
  • José M. Santana-Montesdeoca
Conference paper

DOI: 10.1007/3-540-26431-0_42

Part of the book series Informatik aktuell (INFORMAT)
Cite this paper as:
Alemán-Flores M., Alemán-Flores P., Álvarez-León L., Esteban-Sánchez M.B., Fuentes-Pavón R., Santana-Montesdeoca J.M. (2005) Segmentation and Analysis of Breast Tumors on Ultrasonography. In: Meinzer HP., Handels H., Horsch A., Tolxdorff T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Miguel Alemán-Flores
    • 1
  • Patricia Alemán-Flores
    • 2
  • Luis Álvarez-León
    • 1
  • M. Belén Esteban-Sánchez
    • 1
  • Rafael Fuentes-Pavón
    • 2
  • José M. Santana-Montesdeoca
    • 2
  1. 1.Departamento de Informática y SistemasUniversidad de Las Palmas de Gran CanariaLas PalmasSpain
  2. 2.Sección de Ecografía, Servicio de RadiodiagnósticoHospital Universitario Insular de Gran CanariaLas PalmasSpain