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. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image;
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Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;
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succinctly explain them would be an invaluable resource to have. Medical Image Analysis Methods is that resource. It is an essential reference;
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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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Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret;
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Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology;
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Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology;
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The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation;
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, modal analyses, stochastic methods, principal and independent components analysis and distribution models. Computational Vision and Medical;
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This book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The;
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Compression; - Image Processing and Analysis; - Image Segmentation; - Medical Imaging; - Motion and Deformation Analysis; - Objects Simulation;
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analysis; tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis;
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This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new;
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analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists;
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This book constitutes the refereed proceedings of the 22st Annual Conference on Medical Image Understanding and Analysis, MIUA 2018, held;
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. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image;
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and Medical Image Processing (Olhao, Algarve, Portugal, 12-14 October 2011). International contributions from 16 countries provide a;
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image processing and analysis, medical imaging and computational modelling and simulation, considering their multidisciplinary nature. The;
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data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and;
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talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis;
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Computational Vision and Medical Image Processing, VIPIMAGE 2009 contains the full papers presented at VIPIMAGE 2009 - Second ECCOMAS;
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The two volume set LNCS 8047 and 8048 constitutes the refereed proceedings of the 15th International Conference on Computer Analysis;
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The two volume set LNCS 8047 and 8048 constitutes the refereed proceedings of the 15th International Conference on Computer Analysis;
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Computational Biomechanics for Medicine Workshop help in conjunction with Medical Image Computing and Computer Assisted Intervention conference (MICCAI;
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and Medical Image Processing (Olhao, Algarve, Portugal, 12-14 October 2011). International contributions from 16 countries provide a;
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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;
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This easy-to-follow textbook presents an engaging introduction to the fascinating world of medical image analysis. Avoiding an overly;
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