Medical Content-Based Retrieval for Clinical Decision Support Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1, 2012, Revised Selected Papers /

This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected...

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Bibliographic Details
Published in:Springer eBooks
Corporate Author: SpringerLink (Online service)
Other Authors: Greenspan, Hayit (Editor), Müller, Henning (Editor), Syeda-Mahmood, Tanveer (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Series:Lecture Notes in Computer Science,
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-642-36678-9
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Table of Contents:
  • Workshop Overview
  • Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012)
  • Invited Talk
  • A Polynomial Model of Surgical Gestures for Real-Time Retrieval of Surgery Videos
  • Methods
  • Exploiting 3D Part-Based Analysis, Description and Indexing to Support Medical Applications
  • Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models
  • 3D/4D Data Retrieval
  • Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis
  • Immediate ROI Search for 3-D Medical Images
  • The Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from Echocardiogram Videos
  • Assessing the Classification of Liver Focal Lesions by Using Multi-phase Computer Tomography Scans
  • Invited Talk
  • VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions
  • Visual Features
  • Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images
  • Bag-of-Colors for Biomedical Document Image Classification
  • Multimodal Retrieval
  • An SVD-Bypass Latent Semantic Analysis for Image Retrieval
  • Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes.