Artificial intelligence
On the justification of Dempster's rule of combination
Artificial Intelligence
The image processing handbook (3rd ed.)
The image processing handbook (3rd ed.)
Nonlinear image processing
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Fuzzy and Neuro-Fuzzy Systems in Medicine
Fuzzy and Neuro-Fuzzy Systems in Medicine
Neural Networks and Artificial Intelligence for Biomedical Engineering
Neural Networks and Artificial Intelligence for Biomedical Engineering
Readings in Fuzzy Sets for Intelligent Systems
Readings in Fuzzy Sets for Intelligent Systems
Graphics Applied to Medical Image Registration
IEEE Computer Graphics and Applications
Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition
International Journal of Computer Vision
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Granular support vector machines with association rules mining for protein homology prediction
Artificial Intelligence in Medicine
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Medical imaging mainly treats and processes missing, ambiguous, complementary, redundant and distorted data. In this paper, we propose a new PET-CT image fusion / registration method. We first apply a mutual information based registration algorithm and then fuse the PET and CT images using the 2v-Granular Support Vector Machine. The fused image contains the properties of both PET and CT images and can efficiently be used for image registration. We validated the performance of the proposed image fusion algorithm, using a PET-CT database and compared the performance of the proposed 2v-GSVM based image fusion algorithm by choosing a new image fusion algorithm proposed in the literature. Experimental results show that the proposed image fusion method outperforms existing fusion algorithms.