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Color Medical Image Analysis

Overview of attention for book
Cover of 'Color Medical Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 A Data Driven Approach to Cervigram Image Analysis and Classification
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    Chapter 2 Macroscopic Pigmented Skin Lesion Segmentation and Its Influence on Lesion Classification and Diagnosis
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    Chapter 3 Color and Spatial Features Integrated Normalized Distance for Density Based Border Detection in Dermoscopy Images
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    Chapter 4 A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions
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    Chapter 5 Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm
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    Chapter 6 Grading the Severity of Diabetic Macular Edema Cases Based on Color Eye Fundus Images
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    Chapter 7 Colour Image Analysis of Wireless Capsule Endoscopy Video: A Review
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    Chapter 8 Automated Prototype Generation for Multi-color Karyotyping
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    Chapter 9 Colour Model Analysis for Histopathology Image Processing
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    Chapter 10 A Review on CAD Tools for Burn Diagnosis
Attention for Chapter 5: Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm
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Citations

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Summary Dimensions citations
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Chapter title
Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm
Chapter number 5
Book title
Color Medical Image Analysis
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-5389-1_5
Book ISBNs
978-9-40-075388-4, 978-9-40-075389-1
Authors

M. Emre Celebi, Quan Wen, Sae Hwang, Gerald Schaefer

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Student > Master 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Unknown 1 17%

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