Medical Content-Based Retrieval for Clinical Decision Support PDF Download
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Author: Henning Müller
Publisher: Springer
ISBN: 3642117694
Category : Computers
Languages : en
Pages : 130
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Book Description
This book 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. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.
Author: Henning Müller
Publisher: Springer
ISBN: 3642117694
Category : Computers
Languages : en
Pages : 130
Get Book Here
Book Description
This book 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. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.
Author: Henning Mueller
Publisher: Springer
ISBN: 3642284604
Category : Computers
Languages : en
Pages : 161
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Book Description
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.
Author: Hayit Greenspan
Publisher: Springer
ISBN: 3642366783
Category : Computers
Languages : en
Pages : 153
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Book Description
This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.
Author: Henning Mueller
Publisher: Springer Science & Business Media
ISBN: 3642284590
Category : Business & Economics
Languages : en
Pages : 161
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Book Description
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Alexia Briassouli
Publisher: Springer
ISBN: 3319179632
Category : Computers
Languages : en
Pages : 284
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Book Description
This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at home. With sophisticated technologies in monitoring, diagnosis, and treatment, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical engineering, medical informatics, physical education and motor control, visual learning, nursing and human sciences, information retrieval, content based image retrieval, eHealth, information fusion, multimedia communications and human computer interaction come together to provide a thorough overview of multimedia analysis in medicine and daily life.
Author: Danail Stoyanov
Publisher: Springer
ISBN: 3030008894
Category : Computers
Languages : en
Pages : 401
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Book Description
This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. 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.
Author: Enrico Coiera
Publisher: CRC Press
ISBN: 1444170503
Category : Medical
Languages : en
Pages : 690
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Book Description
This essential text provides a readable yet sophisticated overview of the basic concepts of information technologies as they apply in healthcare. Spanning areas as diverse as the electronic medical record, searching, protocols, and communications as well as the Internet, Enrico Coiera has succeeded in making this vast and complex area accessible and understandable to the non-specialist, while providing everything that students of medical informatics need to know to accompany their course.
Author: Adam Rhine
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
Within the field of clinical support, access to relevant, peer-reviewed information from medical journals and other research publications is critical to making informed decisions regarding the diagnosis and care of patients. This study aims to build a complete biomedical information retrieval system, based on the data released by the National Institute of Standards and Technology for Text REtrieval Conference Clinical Decision Support track. Through the use of query expansion, machine-learning classification, a vector space model with tf-idf ranking implementation, along with additional specialized preprocessing data transformation and post-processing scoring techniques, we constructed an IR system competitive with the state of the art for this specific retrieval task, and demonstrated our success through the use of standardized evaluation metrics.
Author: Dey, Nilanjan
Publisher: IGI Global
ISBN: 152250141X
Category : Technology & Engineering
Languages : en
Pages : 502
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Book Description
Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.
