Skip to main content
Book cover

Medical Content-Based Retrieval for Clinical Decision Support

Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1st, 2012, Revised Selected Papers

  • Conference proceedings
  • © 2013

Overview

  • Fast-track conference proceedings
  • State-of-the-art research
  • Up-to-date results

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7723)

Included in the following conference series:

Conference proceedings info: MCBR-CDS 2012.

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (13 papers)

  1. Invited Talk

  2. Methods

  3. 3D/4D Data Retrieval

  4. Invited Talk

  5. Visual Features

  6. Multimodal Retrieval

Other volumes

  1. Medical Content-Based Retrieval for Clinical Decision Support

Keywords

About this book

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 from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.

Editors and Affiliations

  • The Iby and Aladar Fleischmann Faculty of Engineering, Tel Aviv University, Israel

    Hayit Greenspan

  • Business Information Systems, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland

    Henning Müller

  • Multi-modal Mining for Healthcare, IBM Almaden Research Center, San Jose, USA

    Tanveer Syeda-Mahmood

Bibliographic Information

Publish with us