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The widespread use of image fusion methods (eg: in military applications, surveillance or medical diagnostics), has increased the need for;
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The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine;
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of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its;
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This book presents the latest research findings and reviews in the field of medical imaging technology, covering ultrasound diagnostics;
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This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held;
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Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors;
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in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented;
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Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are;
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The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present;
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synthesis and simulation in medical imaging such as image registration and segmentation; image denoising and information fusion; image;
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Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are;
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The fusion of remote sensed images can integrate the spectral information of single sensor or the information from different kinds;
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This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the;
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added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image;
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, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical;
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sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;
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sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;
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sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;
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sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;
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Signal Processing, Speech, Image, Video Signal Processing, Person Authentication, Biometry, Medical Imaging, Remote Sensing Analysis, Image;
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complementary steps used to obtain high-resolution images: image registration and image fusion. Details techniques for color image;
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complementary steps used to obtain high-resolution images: image registration and image fusion. Details techniques for color image;
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informative illustrations that help the reader to appreciate the similarities to, but also the differences from, clinical applications. Image Fusion;
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yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis - Concepts;
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Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources;
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Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources;
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