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Medical Content-Based Retrieval for Clinical Decision Support: First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. ... 5853 (Lecture Notes in Computer Science) - Softcover
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We are pleased to present this set of peer-reviewed papers from the ?rst MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support. The MICCAI conference has been the ?agship conference for the m- ical imaging community re?ecting the state of the art in techniques of segm- tation, registration, and robotic surgery. Yet, the transfer of these techniques to clinical practice is rarely discussed in the MICCAI conference. To address this gap, we proposed to hold this workshop with MICCAI in London in September 2009. The goal of the workshop was to show the application of content-based retrieval in clinical decision support. With advances in electronic patient record systems, a large number of pre-diagnosed patient data sets are now bec- ing available. These data sets are often multimodal consisting of images (x-ray, CT, MRI), videos and other time series, and textual data (free text reports and structuredclinicaldata). Analyzing thesemultimodalsourcesfordisease-speci?c information across patients can reveal important similarities between patients and hence their underlying diseases and potential treatments. Researchers are now beginning to use techniques of content-based retrieval to search for disea- speci?c information in modalities to ?nd supporting evidence for a disease or to automatically learn associations of symptoms and diseases. Benchmarking frameworks such as ImageCLEF (Image retrieval track in the Cross-Language Evaluation Forum) have expanded over the past ?ve years to include large m- ical image collections for testing various algorithms for medical image retrieval and classi?cation.
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We are pleased to present this set of peer-reviewed papers from the ?rst MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support. The MICCAI conference has been the ?agship conference for the m- ical imaging community re?ecting the state of the art in techniques of segm- tation, registration, and robotic surgery. Yet, the transfer of these techniques to clinical practice is rarely discussed in the MICCAI conference. To address this gap, we proposed to hold this workshop with MICCAI in London in September 2009. The goal of the workshop was to show the application of content-based retrieval in clinical decision support. With advances in electronic patient record systems, a large number of pre-diagnosed patient data sets are now bec- ing available. These data sets are often multimodal consisting of images (x-ray, CT, MRI), videos and other time series, and textual data (free text reports and structuredclinicaldata). Analyzing thesemultimodalsourcesfordisease-speci?c information across patients can reveal important similarities between patients and hence their underlying diseases and potential treatments. Researchers are now beginning to use techniques of content-based retrieval to search for disea- speci?c information in modalities to ?nd supporting evidence for a disease or to automatically learn associations of symptoms and diseases. Benchmarking frameworks such as ImageCLEF (Image retrieval track in the Cross-Language Evaluation Forum) have expanded over the past ?ve years to include large m- ical image collections for testing various algorithms for medical image retrieval and classi?cation.
Reseña del editor
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 divided on several topics on medical image retrieval, clinical decision making and multimodal fusion.
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Medical Content-Based Retrieval for Clinical Decision Support: First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. ... (Lecture Notes in Computer Science, 5853)
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Medical Content-Based Retrieval for Clinical Decision Support : First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009. Revised Selected Papers
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Medical Content-Based Retrieval for Clinical Decision Support: First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. ... (Lecture Notes in Computer Science, 5853)
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Medical Content-Based Retrieval for Clinical Decision Support (Paperback)
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Paperback. Zustand: new. Paperback. We are pleased to present this set of peer-reviewed papers from the ?rst MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support. The MICCAI conference has been the ?agship conference for the m- ical imaging community re?ecting the state of the art in techniques of segm- tation, registration, and robotic surgery. Yet, the transfer of these techniques to clinical practice is rarely discussed in the MICCAI conference. To address this gap, we proposed to hold this workshop with MICCAI in London in September 2009. The goal of the workshop was to show the application of content-based retrieval in clinical decision support. With advances in electronic patient record systems, a large number of pre-diagnosed patient data sets are now bec- ing available. These data sets are often multimodal consisting of images (x-ray, CT, MRI), videos and other time series, and textual data (free text reports and structuredclinicaldata). Analyzing thesemultimodalsourcesfordisease-speci?c information across patients can reveal important similarities between patients and hence their underlying diseases and potential treatments.Researchers are now beginning to use techniques of content-based retrieval to search for disea- speci?c information in modalities to ?nd supporting evidence for a disease or to automatically learn associations of symptoms and diseases. Benchmarking frameworks such as ImageCLEF (Image retrieval track in the Cross-Language Evaluation Forum) have expanded over the past ?ve years to include large m- ical image collections for testing various algorithms for medical image retrieval and classi?cation. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783642117688
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Medical Content-Based Retrieval for Clinical Decision Support : First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009. Revised Selected Papers
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Medical Content-Based Retrieval for Clinical Decision Support
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Springer Berlin Heidelberg Feb 2010, 2010
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We are pleased to present this set of peer-reviewed papers from the rst MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support. The MICCAI conference has been the agship conference for the m- ical imaging community re ecting the state of the art in techniques of segm- tation, registration, and robotic surgery. Yet, the transfer of these techniques to clinical practice is rarely discussed in the MICCAI conference. To address this gap, we proposed to hold this workshop with MICCAI in London in September 2009. The goal of the workshop was to show the application of content-based retrieval in clinical decision support. With advances in electronic patient record systems, a large number of pre-diagnosed patient data sets are now bec- ing available. These data sets are often multimodal consisting of images (x-ray, CT, MRI), videos and other time series, and textual data (free text reports and structuredclinicaldata). Analyzing thesemultimodalsourcesfordisease-speci c information across patients can reveal important similarities between patients and hence their underlying diseases and potential treatments. Researchers are now beginning to use techniques of content-based retrieval to search for disea- speci c information in modalities to nd supporting evidence for a disease or to automatically learn associations of symptoms and diseases. Benchmarking frameworks such as ImageCLEF (Image retrieval track in the Cross-Language Evaluation Forum) have expanded over the past ve years to include large m- ical image collections for testing various algorithms for medical image retrieval and classi cation. 136 pp. Englisch. Bestandsnummer des Verkäufers 9783642117688
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Medical Content-Based Retrieval for Clinical Decision Support : First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009. Revised Selected Papers
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Medical Content-Based Retrieval for Clinical Decision Support : First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009. Revised Selected Papers
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Medical Content-Based Retrieval for Clinical Decision Support: First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. ... (Lecture Notes in Computer Science, 5853)
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Medical Content-Based Retrieval for Clinical Decision Support: First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. . Papers (Lecture Notes in Computer Science)
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