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ECML
1998
Springer
15 years 5 months ago
Learning to Classify X-Ray Images Using Relational Learning
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
Claude Sammut, Tatjana Zrimec
85
Voted
BILDMED
2004
125views Algorithms» more  BILDMED 2004»
15 years 2 months ago
Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework
Although many interactive segmentation methods exists, none can be considered a silver bullet for all clinical tasks. Moreover, incompatible data representations prevent multiple a...
Hans Meine, Ullrich Köthe, H. Siegfried Stieh...
85
Voted
ICIP
2007
IEEE
16 years 2 months ago
Robust Multiscale AM-FM Demodulation of Digital Images
In this paper, we introduce new multiscale AM-FM demodulation algorithms that provide significant improvements in accuracy over previously reported approaches. The improvements ar...
Marios S. Pattichis, Paul V. Rodriguez, Víc...
VL
1994
IEEE
147views Visual Languages» more  VL 1994»
15 years 4 months ago
Role of Visual Languages in Developing Image Analysis Algorithms
Developers of new imageanalysis algorithmstypically require an interactive environment in which the imagedata can be passed through various operators, some of which may involve fe...
M. Stella Atkins, Torre Zuk, B. Johnston, T. Arden
123
Voted
CVPR
2007
IEEE
16 years 2 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger