Automatización de contornos activos para la extracción de núcleos en imágenes de citologías

  1. Silvia Alayón 1
  2. Jorge Yanes 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Actas:
Simposium Nacional de la Unión Científica Internacional de Radio: URSI (22ª.2007. La Laguna)

Editorial: Unión Científica Internacional de Radio ; Universidad de La Laguna

ISBN: 978-84-690-7500-5

Año de publicación: 2007

Tipo: Aportación congreso

GOOGLE SCHOLAR

Resumen

The completely automatic extraction of cell nuclei incytology images has been the subject of active research formany years. A good and automatic segmentation and extractionof nuclei can improve the speed and the reliability of the finaldiagnosis. Nowadays, there are a lot of extraction methodsproposed for this medical task, but most of them require theuser intervention for achieving good results. We present in thiswork a totally automatic extraction method based on theautomation of a well known parametric technique: the activecontour method.

Referencias bibliográficas

  • R.O. Duda, P.E. Hart, D.G. Stork, Pattern Classification, Wiley Interscience, 2001.
  • Kass M., Wikin A. y Terzopoulos D. (1988). “Snakes: Active contour models”. Internacional Journal of Computer Vision, 1(4), 321-331.
  • V. Meas-Yedid, F. Cloppet, A. Roumier, A. Alcover, J-C Olivo-Marin, G. Stamon. “Quantitative microscopic image analysis by Active Contours”, Proc IAPR-Vision Interface, Ottawa, Canada, 2001.
  • P. Bamford P. and B. Lovell , “Unsupervised cell nucleus segmentation with active contours - An efficient algorithm based on immersion simulations”., Signal Processing, Volume 71, Number 2, pp. 203- 213(11), 1998.
  • D. Murashov, “Method for Segmentation of Low Contrast Cytological Images based on the Active Contour Model”, Proceeding (490) ACIT - Signal and Image Processing – 2005.
  • D.L. Guindy and Aly A. Farag, “Active Contours: An Overview with Applications to Motion Artifact Cancellation in MRI”, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP apos;99. Proceedings, Volume 6, Issue 15-19, pp: 3425 – 3428, 1999.
  • M. Piotrowski, P.S. Szczepaniak, “Active contour based segmentation of low-contrast medical images”, IEEE First International Conference on Advances in Medical Signal and Information Processing, 476, 2000.
  • F. Derraz ,M. Beladgham, M'. Khelif , “Application of Active Contour Models in Medical Image Segmentation”, Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2, 2004.