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Medical Content-Based Retrieval for Clinical Decision Support : First Miccai International Workshop, McBr-CBS 2009, London, Uk, September 20, 2009. Revised Selected Papers - Barbara Caputo

Medical Content-Based Retrieval for Clinical Decision Support

First Miccai International Workshop, McBr-CBS 2009, London, Uk, September 20, 2009. Revised Selected Papers

By: Barbara Caputo (Editor), Henning Muller (Editor), Tanveer Syeda-Mahmood (Editor), James Duncan (Editor), Fei Wang (Editor)

Paperback Published: 1st April 2010
ISBN: 9783642117688
Number Of Pages: 119

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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.

Medical Image Retrieval
Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009p. 1
Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrievalp. 18
A Query-by-Example Content-Based Image Retrieval System of Non-melanoma Skin Lesionsp. 312
3D Case–Based Retrieval for Interstitial Lung Diseasesp. 39
Image Retrieval for Alzheimer's Disease Detectionp. 49
Clinical Decision Making
Statistical Analysis of Gait Data to Assist Clinical Decision Makingp. 61
Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammogramsp. 69
Robust Learning-Based Annotation of Medical Radiographsp. 77
Multimodal Fusion
Knowledge-Based Discrimination in Alzheimer's Diseasep. 89
Automatic Annotation of X-Ray Images: A Study on Attribute Selectionp. 97
Multi-modal Query Expansion Based on Local Analysis for Medical Image Retrievalp. 110
Author Indexp. 121
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9783642117688
ISBN-10: 3642117686
Series: Lecture Notes in Computer Science
Audience: General
Format: Paperback
Language: English
Number Of Pages: 119
Published: 1st April 2010
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.37 x 15.49  x 1.02
Weight (kg): 0.2