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Tongue Image Analysis

Overview of attention for book
Cover of 'Tongue Image Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Tongue Image Analysis
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    Chapter 2 Tongue Images Acquisition System Design
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    Chapter 3 Tongue Image Segmentation by Bi-elliptical Deformable Contour
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    Chapter 4 A Snake-Based Approach to Automated Tongue Image Segmentation
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    Chapter 5 Tongue Segmentation in Hyperspectral Images
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    Chapter 6 Tongue Segmentation by Gradient Vector Flow and Region Merging
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    Chapter 7 Tongue Segmentation by Fusing Region-Based and Edge-Based Approaches
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    Chapter 8 Tongue Shape Classification by Geometric Features
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    Chapter 9 Color Correction Scheme for Tongue Images
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    Chapter 10 Tongue Colorchecker for Precise Correction
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    Chapter 11 Tongue Color Analysis for Medical Application
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    Chapter 12 Statistical Analysis of Tongue Color and Its Applications in Diagnosis
  14. Altmetric Badge
    Chapter 13 Hyperspectral Tongue Image Classification
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    Chapter 14 Computerized Tongue Diagnosis Based on Bayesian Networks
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    Chapter 15 Tongue Image Analysis for Appendicitis Diagnosis
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    Chapter 16 Diagnosis Using Quantitative Tongue Feature Classification
  18. Altmetric Badge
    Chapter 17 Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy Using CTD
  19. Altmetric Badge
    Chapter 18 Book Review and Future Work
Attention for Chapter 1: Introduction to Tongue Image Analysis
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Chapter title
Introduction to Tongue Image Analysis
Chapter number 1
Book title
Tongue Image Analysis
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-2167-1_1
Book ISBNs
978-9-81-102166-4, 978-9-81-102167-1
Authors

David Zhang, Hongzhi Zhang, Bob Zhang

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Linguistics 1 50%
Computer Science 1 50%

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