Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

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.

The many academic areas covered in this publication include, but are not limited to:

• Cardiac motion analysis
• Computed tomography colonography
• Computer-aided detection and diagnosis
• Content-based visual information retrieval
• Diagnosis of disease in medical images
• Filtered and compressed medical images
• Machine learning in biomedical image processing
• Medical image classification
• Spatial regularization processing
• Tissue microscopic image analysis
• Tissue segmentation