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Medical Computer Vision. Large Data in Medical Imaging, Bjoern Menze; Georg Langs; Albert Montillo; Michae


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Автор: Bjoern Menze; Georg Langs; Albert Montillo; Michae
Название:  Medical Computer Vision. Large Data in Medical Imaging
ISBN: 9783319055299
Издательство: Springer
Классификация:


ISBN-10: 3319055291
Обложка/Формат: Paperback
Страницы: 229
Вес: 0.34 кг.
Дата издания: 10.04.2014
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Размер: 234 x 156 x 13
Основная тема: Computer Science
Подзаголовок: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013.


Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2017

Автор: Maxime Descoteaux; Lena Maier-Hein; Alfred Franz;
Название: Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2017
ISBN: 3319661841 ISBN-13(EAN): 9783319661841
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017.
The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

Автор: Nassir Navab; Joachim Hornegger; William M. Wells;
Название: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
ISBN: 3319245732 ISBN-13(EAN): 9783319245737
Издательство: Springer
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Цена: 12298.00 р.
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Описание: The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. reconstruction, image formation, advanced acquisition - computational imaging;

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Автор: Henning M?ller; B. Michael Kelm; Tal Arbel; Weidon
Название: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
ISBN: 3319611879 ISBN-13(EAN): 9783319611877
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases.- BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases.- LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images.- Landmark-based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images.- Inferring Disease Status by non-Parametric Probabilistic Embedding.- A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images.- Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study.- Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker.- Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.- Automatic Detection of Histological Artifacts in Mouse Brain Slice Images.- Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.- Representation Learning for Cross-Modality Classification.- Guideline-based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound.- A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images.- Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data.- Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields.- Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI data.- Non-local Graph-based Regularization for Deformable Image Registration.- Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation.

Medical Computer Vision: Algorithms for Big Data

Автор: Menze
Название: Medical Computer Vision: Algorithms for Big Data
ISBN: 3319420151 ISBN-13(EAN): 9783319420158
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

Mathematics and Computer Science in Medical Imaging

Автор: Max A. Viergever; Andrew Todd-Pokropek
Название: Mathematics and Computer Science in Medical Imaging
ISBN: 364283308X ISBN-13(EAN): 9783642833083
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on Mathematics and Computer Science in Medical Imaging, held in Il Ciocco, Italy, September 21 - October 4, 1986

Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions

Автор: Hongen Liao; Cristian A Linte; Ken Masamune; Terry
Название: Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
ISBN: 3642408427 ISBN-13(EAN): 9783642408427
Издательство: Springer
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Цена: 6429.00 р.
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Описание: Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain.- Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery.- Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model.- Automatic and Real-Time Identification of Breathing Pattern from Ultrasound Liver Images.- Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery.- Hybrid Multimodal Deformable Registration with a Data-Driven Deformation Prior.- Planning of Middle Hepatic Vein-Guided Hemihepatectomy: Resection Pathway Construction and Optimization.- Cascaded Shape Regression for Automatic Prostate Segmentation from Extracorporeal Ultrasound Images.- Evaluation of Endoscopic Image Enhancement for Feature Tracking: A New Validation Framework.- Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography.- Toward Accurate and Robust 2-D/3-D Registration of Implant Models to Single-Plane Fluoroscopy.- Ultrasound Image-Guided Mapping of Endoscopic Views on a 3D Placenta Model: A Tracker-Less Approach.- An Augmented Reality Approach for Initializing 2D/3D Registration.- Surface Reconstruction from Tracked Endoscopic Video Using the Structure from Motion Approach.- Towards CT Enhanced Ultrasound Guidance for Off-pump Beating Heart Mitral Valve Repair.- A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution.- Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images.- Realtime Wide-Baseline Registration of the Uterus in Monocular Laparoscopic Videos.- 3D Robotic Catheter Shape Reconstruction and Localisation Using Appearance Priors and Adaptive C-Arm Positioning.- Uncertainty-Encoded Augmented Reality for Robot-Assisted Partial Nephrectomy: A Phantom Study.- Quantized Local Edge Distribution: A Descriptor for B-mode Ultrasound Images.- Registration of Preoperative Liver Model for Laparoscopic Surgery from Intraoperative 3D Acquisition.- Volume Visualization for Neurovascular Augmented Reality Surgery.- Reinforcement Learning Based Model Selection and Parameter Estimation for Pharmacokinetic Analysis in Drug Selection.- Delineating 3D Angiogenic Sprouting in OCT Images via Multiple Active Contours.- The Role of Augmented Reality in Training the Planning of Brain Tumor Resection.- Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration.- Calibration and Stereo Tracking of a Laparoscopic Ultrasound Transducer for Augmented Reality in Surgery.- Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy.

Decision forests for computer vision and medical image analysis

Название: Decision forests for computer vision and medical image analysis
ISBN: 1447149289 ISBN-13(EAN): 9781447149286
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Автор: M. Jorge Cardoso; Tal Arbel; Su-Lin Lee; Veronika
Название: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
ISBN: 3319675338 ISBN-13(EAN): 9783319675336
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.

Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2017

Автор: Maxime Descoteaux; Lena Maier-Hein; Alfred Franz;
Название: Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2017
ISBN: 3319661787 ISBN-13(EAN): 9783319661780
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: Examines fundamental Daoist values, modes of thinking, dietetics, communities, leadership ideals, nonviolence, gender equality as well as methods of self-cultivation in relation to prehistoric patterns. An enlightening account of Daoism in the context of human development since the Paleolithic, this book offers a new vision of the Daoist tradition, Chinese history, and essential human choices.

Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017

Автор: Maxime Descoteaux; Lena Maier-Hein; Alfred Franz;
Название: Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017
ISBN: 3319661817 ISBN-13(EAN): 9783319661810
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017.
The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

Автор: Polina Golland; Nobuhiko Hata; Christian Barillot;
Название: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014
ISBN: 3319104039 ISBN-13(EAN): 9783319104034
Издательство: Springer
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Цена: 13416.00 р.
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Описание: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

Автор: Polina Golland; Nobuhiko Hata; Christian Barillot;
Название: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014
ISBN: 331910442X ISBN-13(EAN): 9783319104423
Издательство: Springer
Рейтинг:
Цена: 8944.00 р.
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Описание: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014.


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