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.
Описание: This book constitutes revised selected papers from the International Workshop on Clinical Image-Based Procedures, CLIP 2013, held in conjunction with MICCAI 2012 in Nagoya, Japan, in September 2013.
Описание: This bookconstitutes revised selected papers from the 4th International Workshop onClinical Image-Based Procedures, CLIP 2015, held in conjunction with MICCAI2015 in Munich, Germany, in October 2015. therefore, the goal of the works presentedin this workshop is to bring basic research methods closer to the clinicalpractice.
Описание: Introduction This book includes terms of reference and offers an augmented volume of relevant work initiated within the comprehensive concept of "Knowledge Management and Risk Governance".
Автор: Henning M?ller; Tanveer Syeda-Mahmood; James Dunca Название: Medical Content-Based Retrieval for Clinical Decision Support ISBN: 3642117686 ISBN-13(EAN): 9783642117688 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. This book includes the papers that are divided on several topics on medical image retrieval, clinical decision making and multimodal fusion.
Описание: This book constitutes the revised selected papers from the 5th International Workshop on Clinical Image-Based Procedures, CLIP 2016, held in conjunction with MICCAI 2016 in Athens, Greece, in October 2016. The 10 papers presented in this volume were carefully reviewed and selected from 16 submissions.
Описание: This book constitutes revised selected papers from the Third International Workshop on Clinical Image-Based Procedures, CLIP 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014.
Автор: Jenny Benois-Pineau; Patrick Le Callet Название: Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 3319576860 ISBN-13(EAN): 9783319576862 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks.
Автор: Henning M?ller; Oscar Alfonso Jimenez del Toro; Al Название: Multimodal Retrieval in the Medical Domain ISBN: 3319244701 ISBN-13(EAN): 9783319244709 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015.
Автор: Jason Papathanasiou; Nikolaos Ploskas; Isabelle Li Название: Real-World Decision Support Systems ISBN: 3319439154 ISBN-13(EAN): 9783319439150 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system’s life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect.It complements the many works that focus on theoretical aspects or individual module design and development by offering ‘good’ and ‘bad’ practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.
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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
