Medical Content-Based Retrieval for Clinical Decision Support [electronic resource] : First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009, Revised Selected Papers / edited by Barbara Caputo, Henning Müller, Tanveer Syeda-Mahmood, James S. Duncan, Fei Wang, Jayashree Kalpathy-Cramer.
Material type:
TextSeries: Lecture Notes in Computer Science ; 5853Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: X, 121p. 38 illus. online resourceContent type: - text
- computer
- online resource
- 9783642117695
- 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 Systems
- 006.312 23
- QA76.9.D343
E-BOOKS
| Home library | Call number | Materials specified | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| IMSc Library | Link to resource | Available | EBK8939 |
Medical 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.
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