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Diagnotic imaging -- Congresses. --- Electronic books. -- local. --- Imaging systems in medicine -- Congresses. --- Medical informatics --- Diagnostic Techniques and Procedures --- Decision Making, Computer-Assisted --- Medical Records --- Methods --- Information Storage and Retrieval --- Congresses --- Image Processing, Computer-Assisted --- Computing Methodologies --- Records as Topic --- Publication Formats --- Investigative Techniques --- Medical Informatics Applications --- Information Science --- Diagnosis --- Organization and Administration --- Data Collection --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Medical Informatics --- Publication Characteristics --- Health Care Evaluation Mechanisms --- Epidemiologic Methods --- Health Services Administration --- Public Health --- Quality of Health Care --- Health Care --- Environment and Public Health --- Health Care Quality, Access, and Evaluation --- Biomedical Engineering --- Computer Science --- Medical & Biomedical Informatics --- Health & Biological Sciences --- Medicine --- Engineering & Applied Sciences --- Imaging systems in medicine --- Diagnotic imaging --- Diagnostic imaging --- Computer science. --- Data mining. --- Information storage and retrieval. --- Computer graphics. --- Pattern recognition. --- Biometrics (Biology). --- Management 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 Systems. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Statistical methods --- Communication systems --- Digital techniques --- Optical pattern recognition. --- Information storage and retrieva. --- Computer vision. --- Information Systems. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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The creation and consumption of content, especially visual content, is ingrained into our modern world. This book contains a collection of texts centered on the evaluation of image retrieval systems. To enable reproducible evaluation we must create standardized benchmarks and evaluation methodologies. The individual chapters in this book highlight major issues and challenges in evaluating image retrieval systems and describe various initiatives that provide researchers with the necessary evaluation resources. In particular they describe activities within ImageCLEF, an initiative to evaluate cross-language image retrieval systems which has been running as part of the Cross Language Evaluation Forum (CLEF) since 2003. To this end, the editors collected contributions from a range of people: those involved directly with ImageCLEF, such as the organizers of specific image retrieval or annotation tasks; participants who have developed techniques to tackle the challenges set forth by the organizers; and people from industry and academia involved with image retrieval and evaluation generally. Mostly written for researchers in academia and industry, the book stresses the importance of combing textual and visual information - a multimodal approach - for effective retrieval. It provides the reader with clear ideas about information retrieval and its evaluation in contexts and domains such as healthcare, robot vision, press photography, and the Web.

Information retrieval --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- beeldverwerking --- bio-informatica --- computers --- informatica --- computerbesturingssystemen --- informatiesystemen --- moleculaire biologie

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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.

Information retrieval --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Computer science --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- MIS (management informatie systeem) --- biomathematica --- datamining --- biostatistiek --- computers --- grafische vormgeving --- informatiesystemen --- biometrie --- informatica management --- computerkunde --- data acquisition

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Information retrieval --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Computer science --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- MIS (management informatie systeem) --- biomathematica --- datamining --- biostatistiek --- computers --- grafische vormgeving --- informatiesystemen --- biometrie --- informatica management --- computerkunde --- data acquisition