Decision forests for computer vision and medical image analysis,
Автор: Eduardo Bayro Corrochano; Jan-Olof Eklundh Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 3642102670 ISBN-13(EAN): 9783642102677 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community.
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: 89440.00 T 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: Antonio Criminisi; J Shotton Название: Decision Forests for Computer Vision and Medical Image Analysis ISBN: 144716962X ISBN-13(EAN): 9781447169628 Издательство: Springer Рейтинг: Цена: 116450.00 T 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.
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 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 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Автор: C?sar Beltr?n-Casta??n; Ingela Nystr?m; Fazel Fami Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 3319522760 ISBN-13(EAN): 9783319522760 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions.
Автор: Eduardo Bayro-Corrochano; Edwin Hancock Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 3319125672 ISBN-13(EAN): 9783319125671 Издательство: Springer Рейтинг: Цена: 104350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The papers are organized in topical sections on image coding, processing and analysis; pattern recognition and machine learning; neural networks for pattern recognition;
Автор: Alvaro Pardo; Josef Kittler Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 3319257501 ISBN-13(EAN): 9783319257501 Издательство: Springer Рейтинг: Цена: 81990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition;
Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 364241821X ISBN-13(EAN): 9783642418211 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 3642418260 ISBN-13(EAN): 9783642418266 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
Автор: Roumen Kountchev; Barna Iantovics Название: Advances in Intelligent Analysis of Medical Data and Decision Support Systems ISBN: 3319000284 ISBN-13(EAN): 9783319000282 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents new ideas and advances in medical informatics systems, including intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and for the global healthcare system.
Автор: Roumen Kountchev; Barna Iantovics Название: Advances in Intelligent Analysis of Medical Data and Decision Support Systems ISBN: 3319033751 ISBN-13(EAN): 9783319033754 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents new ideas and advances in medical informatics systems, including intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and for the global healthcare system.
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 Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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