Processing of Hyperspectral Medical Images, Koprowski

Автор: Joao Tavares; R. M. Natal Jorge
Название: Computational Vision and Medical Image Processing
ISBN: 9400734204 ISBN-13(EAN): 9789400734203
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This collection of state-of-the-art research, methods and new trends in computational vision and medical image-processing features papers presented to the 2009 VIPIMAGE conference. It will be a major contribution to the development of these knowledge areas.

Автор: Harrison H. Barrett; Arthur F. Gmitro
Название: Information Processing in Medical Imaging
ISBN: 354056800X ISBN-13(EAN): 9783540568001
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume of conference proceedings discusses the latest developments in the acquisition, analysis and utilization of medical images. Topics discussed include abstract shape description, knowledge-based systems, tomographic reconstruction, image sequencing and image quality.

Автор: Joao Tavares; R. M. Natal Jorge
Название: Advances in Computational Vision and Medical Image Processing
ISBN: 904818066X ISBN-13(EAN): 9789048180660
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The present book contains extended versions of papers presented in the Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image. This ECCOMAS thematic conference was on computational vision and medical image processing.

Автор: Robert Koprowski
Название: Processing Medical Thermal Images
ISBN: 3319613391 ISBN-13(EAN): 9783319613390
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The book presents automatic and reproducible methods for the analysis of medical infrared images. All methods highlighted here have been practically implemented in Matlab, and the source code is presented and discussed in detail. Further, all methods have been verified with medical specialists, making the book an ideal resource for all IT specialists, bioengineers and physicians who wish to broaden their knowledge of tailored methods for medical infrared image analysis and processing.

Автор: Manfred Schmitt; Horia-Nicolai Teodorescu; Ashlesh
Название: Computational Intelligence Processing in Medical Diagnosis
ISBN: 3790814636 ISBN-13(EAN): 9783790814637
Издательство: Springer
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Цена: 32004.00 р.
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Описание: This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms and specific internet applications.

Автор: James C. Gee; Sarang Joshi; Kilian M. Pohl; Willia
Название: Information Processing in Medical Imaging
ISBN: 3642388671 ISBN-13(EAN): 9783642388675
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The papers are organized in topical sections on connectivity, groupwise registration, neuro segmentation, statistical analysis, dynamic imaging, cortical surface registration, diffusion MRI, functional imaging, torso image analysis, and tract analysis.

Автор: Manfred Schmitt; Horia-Nicolai Teodorescu; Ashlesh
Название: Computational Intelligence Processing in Medical Diagnosis
ISBN: 3790825093 ISBN-13(EAN): 9783790825091
Издательство: Springer
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Цена: 32004.00 р.
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Описание: The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.

Автор: Sebastien Ourselin; Daniel C. Alexander; Carl-Fred
Название: Information Processing in Medical Imaging
ISBN: 3319199919 ISBN-13(EAN): 9783319199917
Издательство: Springer
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Цена: 12298.00 р.
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Описание: Probabilistic Graphical Models.- Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach.- Template-Based Multimodal Joint Generative Model of Brain Data.- Generative Method to Discover Genetically Driven Image Biomarkers.- MRI Reconstruction A Joint Acquisition-Estimation Framework for MR Phase Imaging.- A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI.- Accelerated High Spatial Resolution Diffusion-Weighted Imaging.- Clustering.- Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.- Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling.- Statistical Methods.- Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations.- Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps.- Longitudinal Analysis.- Group Testing for Longitudinal Data.- Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.- Microstructure Imaging.- A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI.- Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material.- Shape Analysis.- Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths.- A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes.- Multi-atlas Fusion Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.- Keypoint Transfer Segmentation.- Fast Image Registration.- Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration.- Fast Optimal Transport Averaging of Neuroimaging Data.- Deformation Models.- Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms.- A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy.- Poster Papers.- Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.- Multiresolution Diffeomorphic Mapping for Cortical Surfaces.- A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos.- A Feature-Based Approach to Big Data Analysis of Medical Images.- Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate.- Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.- Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space.- Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.- Measuring Asymmetric Interactions in Resting State Brain Networks.- Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.- Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging.- Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.- Bodypart Recognition Using Multi-stage Deep Learning.- Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization.- Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps.- Finding a Path for Segmentation Through Sequential Learning.- Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.- IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.- Moving Frames for Heart Fiber Reconstruction.- Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.- Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images.- A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.- Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based L