Different methods to segment biomedical images
Pattern Recognition Letters - special issue on pattern recognition in practice V
Automatic detection of PET lesions
VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
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Digital images are a convenient media for describing and storing spatial, temporal, spectral, and physical components of information contained in a variety of domains (e.g. aerial/satellite images in remote sensing, medical images, etc.). In the paper we address the problem of efficiently and accurately retrieving images from a medical database purely based on shape analysis. The detection of mass lesions on mammograms can be a difficult task for human observers or machines. The potential variability and heterogeneity of normal breast tissue often produces a number of localized findings that may simulate mass lesions or, depending on the observer, create distractions, during the search process. The tool we'll test in this paper represents contours and textures by a vector containing the location and the energy of the signal maxima. The main contribute of this work shows how the method works as information retrieval from image dataset and also as Cad system.