Title :
Nonlinear image analysis for fuzzy classification of breast cancer
Author :
Marroquín, E. Martínez ; Vos, C. ; Santamaría, E. ; Jové, X. ; Socoró, J.C.
Author_Institution :
La Salle School of Eng., Ramon Llull Univ., Barcelona, Spain
Abstract :
Nonlinear image processing proves to be a powerful tool for segmenting images preserving only the interesting regions; those are the cells´ nucleus (CN) in this application. All CN are preserved and identified even if they are in a cluster, while the rest of the image is considered to be part of the background. The morphological segmentation makes it possible to calculate outstanding features that could not be obtained by simple observation. These are passed to a fuzzy classifier which decides the probability of the biopsy to belong to a high or low cancer level. Obtaining these measures by human observation is a hard, and nonprecise task. The extracted features will make it possible to reach a parametric classification that is more efficient than the subjective classification made by human observation
Keywords :
feature extraction; fuzzy systems; image classification; image segmentation; medical image processing; patient treatment; biopsy; breast cancer; cell nucleus; feature extraction; fuzzy classification; high cancer level; image classification; image segmentation; interesting image regions; low cancer level; morphological segmentation; nonlinear image analysis; optical microscope; parametric classification; Breast biopsy; Breast cancer; Feature extraction; Humans; Image analysis; Image segmentation; Image texture analysis; Noise cancellation; Optical microscopy; Shape;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561060
