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Medical Content-Based Retrieval for Clinical Decision Support

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Cover of 'Medical Content-Based Retrieval for Clinical Decision Support'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of the Second Workshop on Medical Content–Based Retrieval for Clinical Decision Support
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    Chapter 2 Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis
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    Chapter 3 Biomedical Image Retrieval Using Multimodal Context and Concept Feature Spaces
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    Chapter 4 Using MeSH to Expand Queries in Medical Image Retrieval
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    Chapter 5 Building Implicit Dictionaries Based on Extreme Random Clustering for Modality Recognition
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    Chapter 6 Medical Content-Based Retrieval for Clinical Decision Support
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    Chapter 7 Using Multiscale Visual Words for Lung Texture Classification and Retrieval
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    Chapter 8 Histology Image Indexing Using a Non-negative Semantic Embedding
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    Chapter 9 A Discriminative Distance Learning–Based CBIR Framework for Characterization of Indeterminate Liver Lesions
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    Chapter 10 Computer–Aided Diagnosis of Pigmented Skin Dermoscopic Images
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    Chapter 11 Medical Content-Based Retrieval for Clinical Decision Support
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    Chapter 12 Evaluation of Fast 2D and 3D Medical Image Retrieval Approaches Based on Image Miniatures
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    Chapter 13 Semantic Analysis of 3D Anatomical Medical Images for Sub-image Retrieval
Attention for Chapter 2: Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis
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Citations

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Readers on

mendeley
18 Mendeley
Summary Dimensions citations
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Chapter title
Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis
Chapter number 2
Book title
Medical Content-Based Retrieval for Clinical Decision Support
Published by
Springer, Berlin, Heidelberg, September 2011
DOI 10.1007/978-3-642-28460-1_2
Book ISBNs
978-3-64-228459-5, 978-3-64-228460-1
Authors

Barbara André, Tom Vercauteren, Nicholas Ayache, André, Barbara, Vercauteren, Tom, Ayache, Nicholas

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
United Kingdom 1 6%
Colombia 1 6%
Greece 1 6%
Unknown 14 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 3 17%
Student > Bachelor 2 11%
Professor > Associate Professor 2 11%
Student > Master 2 11%
Other 4 22%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 12 67%
Engineering 3 17%
Unknown 3 17%

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