Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, 1st Edition

  • Published By:
  • ISBN-10: 1605669571
  • ISBN-13: 9781605669571
  • DDC: 616.07
  • Grade Level Range: College Freshman - College Senior
  • 346 Pages | eBook
  • Original Copyright 2009 | Published/Released June 2010
  • This publication's content originally published in print form: 2009

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Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
1: Introduction.
2: From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning.
3: Feature Extraction.
4: Computer-Aided Detection and Diagnosis of Breast Cancer Using Machine Learning, Texture and Shape Features.
5: Machine Learning for Automated Polyp Detection in Computed Tomography Colonography.
6: Machine Learning Based Segmentation.
7: Variational Approach Based Image Pre-Processing Techniques for Virtual Colonoscopy.
8: Machine Learning for Brain Image Segmentation.
9: A Genetic Algorithm-Based Level Set Curve Evolution for Prostate Segmentation on Pelvic CT and MRI Images.
10: Genetic Adaptation of Level Sets Parameters for Medical Imaging Segmentation.
11: Biomedical Image Understanding and Interpretation.
12: Automatic Analysis of Microscopic Images in Hematological Cytology Applications.
13: Biomedical Microscopic Image Processing By Graphs.
14: Assessment of Kidney Function Using Dynamic Contrast Enhanced MRI Techniques.
15: Ensemble of Neural Networks for Automated Cell Phenotype Image Classification.
16: Content-Based Access to Medical Image Collections.
17: Complex Motion Analysis.
18: Predicting Complex Patterns of Human Movements Using Bayesian Online Learning in Medical Imaging Applications.
19: Left Ventricle Segmentation and Motion Analysis in MultiSlice Computerized Tomography.
Compilation of References.
About the Contributors.
Index.