Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support

Author: Henning Müller

Publisher: Springer

Published: 2010-02-04

Total Pages: 130

ISBN-13: 3642117694

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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.


Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Henning Müller

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Müller and published by Springer. This book was released on 2010-02-04 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support

Author: Henning Mueller

Publisher: Springer

Published: 2012-02-21

Total Pages: 161

ISBN-13: 3642284604

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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.


Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Henning Mueller

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Mueller and published by Springer. This book was released on 2012-02-21 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support

Author: Hayit Greenspan

Publisher: Springer

Published: 2013-02-20

Total Pages: 153

ISBN-13: 3642366783

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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.


Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Hayit Greenspan

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Hayit Greenspan and published by Springer. This book was released on 2013-02-20 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support

Author: Henning Mueller

Publisher: Springer Science & Business Media

Published: 2012-03

Total Pages: 161

ISBN-13: 3642284590

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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.


Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Henning Mueller

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Mueller and published by Springer Science & Business Media. This book was released on 2012-03 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support

Author: Barbara Caputo

Publisher: Springer Science & Business Media

Published: 2010-02-15

Total Pages: 130

ISBN-13: 3642117686

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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.


Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Barbara Caputo

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Barbara Caputo and published by Springer Science & Business Media. This book was released on 2010-02-15 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Medical Content-based Retrieval for Clinical Decision Support

Medical Content-based Retrieval for Clinical Decision Support

Author:

Publisher:

Published: 2012

Total Pages:

ISBN-13:

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Book Synopsis Medical Content-based Retrieval for Clinical Decision Support by :

Download or read book Medical Content-based Retrieval for Clinical Decision Support written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Clinical Decision Support Systems

Clinical Decision Support Systems

Author: Eta S. Berner

Publisher: Springer Science & Business Media

Published: 2007-04-03

Total Pages: 278

ISBN-13: 0387383190

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This is a resource book on clinical decision support systems for informatics specialists, a textbook for teachers or students in health informatics and a comprehensive introduction for clinicians. It has become obvious that, in addition to physicians, other health professionals have need of decision support. Therefore, the issues raised in this book apply to a broad range of clinicians. The book includes chapters written by internationally recognized experts on the design, evaluation and application of these systems, who examine the impact of computer-based diagnostic tools both from the practitioner’s perspective and that of the patient.


Book Synopsis Clinical Decision Support Systems by : Eta S. Berner

Download or read book Clinical Decision Support Systems written by Eta S. Berner and published by Springer Science & Business Media. This book was released on 2007-04-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a resource book on clinical decision support systems for informatics specialists, a textbook for teachers or students in health informatics and a comprehensive introduction for clinicians. It has become obvious that, in addition to physicians, other health professionals have need of decision support. Therefore, the issues raised in this book apply to a broad range of clinicians. The book includes chapters written by internationally recognized experts on the design, evaluation and application of these systems, who examine the impact of computer-based diagnostic tools both from the practitioner’s perspective and that of the patient.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Author: Danail Stoyanov

Publisher: Springer

Published: 2018-09-19

Total Pages: 401

ISBN-13: 3030008894

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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.


Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : Danail Stoyanov

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by Danail Stoyanov and published by Springer. This book was released on 2018-09-19 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Health Monitoring and Personalized Feedback using Multimedia Data

Health Monitoring and Personalized Feedback using Multimedia Data

Author: Alexia Briassouli

Publisher: Springer

Published: 2015-07-01

Total Pages: 284

ISBN-13: 3319179632

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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.


Book Synopsis Health Monitoring and Personalized Feedback using Multimedia Data by : Alexia Briassouli

Download or read book Health Monitoring and Personalized Feedback using Multimedia Data written by Alexia Briassouli and published by Springer. This book was released on 2015-07-01 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Classification and Clustering in Biomedical Signal Processing

Classification and Clustering in Biomedical Signal Processing

Author: Dey, Nilanjan

Publisher: IGI Global

Published: 2016-04-07

Total Pages: 502

ISBN-13: 152250141X

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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.


Book Synopsis Classification and Clustering in Biomedical Signal Processing by : Dey, Nilanjan

Download or read book Classification and Clustering in Biomedical Signal Processing written by Dey, Nilanjan and published by IGI Global. This book was released on 2016-04-07 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.