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Computational Intelligence in Biomedical Imaging

Overview of attention for book
Cover of 'Computational Intelligence in Biomedical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Brain Disease Classification and Progression Using Machine Learning Techniques
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    Chapter 2 The Role of Content-Based Image Retrieval in Mammography CAD
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    Chapter 3 A Novel Image-Based Approach for Early Detection of Prostate Cancer Using DCE-MRI
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    Chapter 4 Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning
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    Chapter 5 Computational Anatomy in the Abdomen: Automated Multi-Organ and Tumor Analysis from Computed Tomography
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    Chapter 6 Liver Volumetry in MRI by Using Fast Marching Algorithm Coupled with 3D Geodesic Active Contour Segmentation
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    Chapter 7 Computer-Aided Image Analysis for Vertebral Anatomy on X-Ray CT Images
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    Chapter 8 Robust Segmentation of Challenging Lungs in CT Using Multi-stage Learning and Level Set Optimization
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    Chapter 9 Bone Suppression in Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing and Consistency Processing
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    Chapter 10 Image Segmentation for Connectomics Using Machine Learning
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    Chapter 11 Image Analysis Techniques for the Quantification of Brain Tumors on MR Images
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    Chapter 12 Respiratory and Cardiac Function Analysis on the Basis of Dynamic Chest Radiography
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    Chapter 13 Adaptive Noise Reduction and Edge Enhancement in Medical Images by Using ICA
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    Chapter 14 Subtraction Techniques for CT and DSA and Automated Detection of Lung Nodules in 3D CT
Attention for Chapter 9: Bone Suppression in Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing and Consistency Processing
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Citations

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18 Mendeley
Summary Dimensions citations
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Chapter title
Bone Suppression in Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing and Consistency Processing
Chapter number 9
Book title
Computational Intelligence in Biomedical Imaging
Published by
Springer, New York, NY, January 2014
DOI 10.1007/978-1-4614-7245-2_9
Book ISBNs
978-1-4614-7244-5, 978-1-4614-7245-2
Authors

Sheng Chen, Kenji Suzuki

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 %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Ph. D. Student 3 17%
Professor > Associate Professor 2 11%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Computer Science 7 39%
Medicine and Dentistry 3 17%
Engineering 3 17%
Unknown 5 28%

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