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001			u374105
003			SIRSI
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007			cr nn 008mamaa
008			100715s2010 gw | s |||| 0|eng d
020			_a9783642117695 _9978-3-642-11769-5
040			_cMX-MeUAM
050		4	_aQA76.9.D343
082	0	4	_a006.312 _223
100	1		_aCaputo, Barbara. _eeditor.
245	1	0	_aMedical Content-Based Retrieval for Clinical Decision Support _h[recurso electrónico] : _bFirst MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009, Revised Selected Papers / _cedited by Barbara Caputo, Henning Müller, Tanveer Syeda-Mahmood, James S. Duncan, Fei Wang, Jayashree Kalpathy-Cramer.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aX, 121p. 38 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v5853
505	0		_aMedical Image Retrieval -- Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009 -- Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval -- A Query-by-Example Content-Based Image Retrieval System of Non-melanoma Skin Lesions -- 3D Case–Based Retrieval for Interstitial Lung Diseases -- Image Retrieval for Alzheimer’s Disease Detection -- Clinical Decision Making -- Statistical Analysis of Gait Data to Assist Clinical Decision Making -- Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms -- Robust Learning-Based Annotation of Medical Radiographs -- Multimodal Fusion -- Knowledge-Based Discrimination in Alzheimer’s Disease -- Automatic Annotation of X-Ray Images: A Study on Attribute Selection -- Multi-modal Query Expansion Based on Local Analysis for Medical Image Retrieval.
520			_aWe 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.
650		0	_aComputer science.
650		0	_aData mining.
650		0	_aInformation storage and retrieval systems.
650		0	_aComputer vision.
650		0	_aOptical pattern recognition.
650		0	_aBiometrics.
650		0	_aInformation Systems.
650	1	4	_aComputer Science.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aBiometrics.
650	2	4	_aPattern Recognition.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aManagement of Computing and Information Systems.
700	1		_aMüller, Henning. _eeditor.
700	1		_aSyeda-Mahmood, Tanveer. _eeditor.
700	1		_aDuncan, James S. _eeditor.
700	1		_aWang, Fei. _eeditor.
700	1		_aKalpathy-Cramer, Jayashree. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642117688
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v5853
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-11769-5
596			_a19
942			_cLIBRO_ELEC
999			_c201985 _d201985