Medical Computer Vision. Large Data in Medical Imaging, Bjoern Menze; Georg Langs; Albert Montillo; Michae
Автор: Menze Название: Medical Computer Vision: Algorithms for Big Data ISBN: 3319420151 ISBN-13(EAN): 9783319420158 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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 Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Nassir Navab; Joachim Hornegger; William M. Wells; Название: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 ISBN: 3319245708 ISBN-13(EAN): 9783319245706 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
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.
Автор: Max A. Viergever; Andrew Todd-Pokropek Название: Mathematics and Computer Science in Medical Imaging ISBN: 364283308X ISBN-13(EAN): 9783642833083 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
Автор: Antonio Criminisi; J Shotton Название: Decision Forests for Computer Vision and Medical Image Analysis ISBN: 144716962X ISBN-13(EAN): 9781447169628 Издательство: Springer Рейтинг: Цена: 17468.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Xiao-Xia Yin; Sillas Hadjiloucas; Yanchun Zhang Название: Pattern Classification of Medical Images: Computer Aided Diagnosis ISBN: 3319570269 ISBN-13(EAN): 9783319570266 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis.
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 Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
Автор: Nassir Navab; Joachim Hornegger; William M. Wells; Название: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 ISBN: 331924552X ISBN-13(EAN): 9783319245522 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
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.
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