Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

✍ Scribed by Fabio A. Gonzalez, Eduardo Romero, Fabio A. Gonzalez, Eduardo Romero

• Publisher: Medical Information Science Reference
• Year: 2009
• Tongue: English
• Leaves: 391
• Series: Premier Reference Source
• Edition: 1
• Category: Library

✦ Synopsis

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis.

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

✦ Table of Contents

IGI Global - Biomedical Image Analysis and Machine Learning Technologies (2010) (ATTiCA)......Page 2
List of Reviewers......Page 4
Table of Contents......Page 6
Detailed Table of Contents......Page 9
Foreword......Page 15
Preface......Page 17
Acknowledgment......Page 20
From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning......Page 22
Computer-Aided Detection and Diagnosis of Breast Cancer Using Machine Learning,Texture and Shape Features......Page 48
Machine Learning for Automated Polyp Detection in Computed Tomography Colonography......Page 75
Variational Approach Based Image Pre-Processing Techniques for Virtual Colonoscopy......Page 99
Machine Learning for Brain Image Segmentation......Page 123
A Genetic Algorithm-Based Level Set Curve Evolution for Prostate Segmentation on Pelvic CT and MRI Images......Page 148
Genetic Adaptation of Level Sets Parameters for Medical Imaging Segmentation......Page 171
Automatic Analysis of Microscopic Images in Hematological Cytology Applications......Page 188
Biomedical Microscopic Image Processing by Graphs......Page 218
Assessment of Kidney Function Using Dynamic Contrast Enhanced MRI Techniques......Page 235
Ensemble of Neural Networks for Automated Cell Phenotype Image Classification......Page 255
Content-Based Access to Medical Image Collections......Page 281
Predicting Complex Patterns of Human Movements Using Bayesian Online Learning in Medical Imaging Applications......Page 304
Left Ventricle Segmentation and Motion Analysis in MultiSlice Computerized Tomography......Page 328
Compilation of References......Page 344
About the Contributors......Page 378
Index......Page 386