Medical Content-Based Retrieval for Clinical Decision Support [electronic resource] : Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers / edited by Henning Müller, Hayit Greenspan, Tanveer Syeda-Mahmood.
By: Müller, Henning [editor.].
Contributor(s): Greenspan, Hayit [editor.] | Syeda-Mahmood, Tanveer [editor.] | SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Computer Science: 7075Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: X, 153 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642284601.Subject(s): Computer science | Data mining | Information storage and retrieval systems | Computer vision | Optical pattern recognition | Biometrics | Information Systems | Computer Science | Data Mining and Knowledge Discovery | Biometrics | Pattern Recognition | Information Storage and Retrieval | Computer Imaging, Vision, Pattern Recognition and Graphics | Management of Computing and Information SystemsDDC classification: 006.312 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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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.
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