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Medical Imaging in Clinical Applications

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Cover of 'Medical Imaging in Clinical Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Abdominal Imaging in Clinical Applications: Computer Aided Diagnosis Approaches
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    Chapter 2 An Overview of Pectoral Muscle Extraction Algorithms Applied to Digital Mammograms
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    Chapter 3 Magnetic Resonance Brain Imaging Segmentation Based on Cascaded Fractional-Order Darwinian Particle Swarm Optimization and Mean Shift Clustering
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    Chapter 4 3D Brain Tumor Segmentation Based on Hybrid Clustering Techniques Using Multi-views of MRI
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    Chapter 5 Comparison of CAD Systems for Three Class Breast Tissue Density Classification Using Mammographic Images
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    Chapter 6 Ensemble Classifiers Construction Using Diversity Measures and Random Subspace Algorithm Combination: Application to Glaucoma Diagnosis
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    Chapter 7 Motor Imagery Classification Based on Variable Precision Multigranulation Rough Set and Game Theoretic Rough Set
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    Chapter 8 Computer Aided Diagnosis System for Mammogram Abnormality
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    Chapter 9 Automated Segmentation and Classification of Hepatocellular Carcinoma Using Fuzzy C-Means and SVM
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    Chapter 10 Ultrasound Based Three Dimensional Computer Aided Diagnosis (CAD) Tool for the Diagnosis of Anterior Talofibular Ligament
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    Chapter 11 Electroanatomical Mapping Systems. An Epochal Change in Cardiac Electrophysiology
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    Chapter 12 Image Quality Assessment: A Case Study on Ultrasound Images of Supraspinatus Tendon
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    Chapter 13 Development of EOG and EMG-Based Multimodal Assistive Systems
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    Chapter 14 Theory of Parallel MRI and Cartesian SENSE Reconstruction: Highlight
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    Chapter 15 Applications of Bio-molecular Databases in Bioinformatics
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    Chapter 16 Statistical Methods for Managing Missing Data: Application to Medical Diagnosis
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    Chapter 17 Advances in Soft Computing Approaches for Gene Prediction: A Bioinformatics Approach
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    Chapter 18 Artificial Bee Colony Based Segmentation for CT Liver Images
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    Chapter 19 Nature Inspired Optimization Algorithms for CT Liver Segmentation
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    Chapter 20 Optimized Multi Threshold Brain Tumor Image Segmentation Using Two Dimensional Minimum Cross Entropy Based on Co-occurrence Matrix
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    Chapter 21 Bio-inspired Swarm Techniques for Thermogram Breast Cancer Detection
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Title
Medical Imaging in Clinical Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-33793-7
ISBNs
978-3-31-933793-7, 978-3-31-933791-3
Editors

Nilanjan Dey, Vikrant Bhateja, Aboul Ella Hassanien

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Bachelor 4 19%
Student > Doctoral Student 3 14%
Researcher 3 14%
Professor 2 10%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Engineering 5 24%
Computer Science 5 24%
Medicine and Dentistry 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 6 29%