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16 April 1996 Segmentation of radiologic images with self-organizing maps: the segmentation problem transformed into a classification task
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erich Pelikan, Frank Vogelsang, and Thomas Tolxdorff "Segmentation of radiologic images with self-organizing maps: the segmentation problem transformed into a classification task", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237924
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