Share Email Print

Proceedings Paper

Segmentation of radiologic images with self-organizing maps: the segmentation problem transformed into a classification task
Author(s): Erich Pelikan; Frank Vogelsang; Thomas Tolxdorff
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The texture-based segmentation of x-ray images of focal bone lesions using topological maps is introduced. Texture characteristics are described by image-point correlation of feature images to feature vectors. For the segmentation, the topological map is labeled using an improved labeling strategy. Results of the technique are demonstrated on original and synthetic x-ray images and quantified with the aid of quality measures. In addition, a classifier-specific contribution analysis is applied for assessing the feature space.

Paper Details

Date Published: 16 April 1996
PDF: 9 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237924
Show Author Affiliations
Erich Pelikan, Freie Univ. Berlin (Germany)
Frank Vogelsang, Technical Univ. Aachen Medical School (Germany)
Thomas Tolxdorff, Freie Univ. Berlin (Germany)

Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?