"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.
Researchers in electronics and computers, but also some in radiology report their recent findings regarding the use of machine learning in computer-aided diagnosis and medical image analysis. Such technologies have reached the practical level, they say, and are rapidly becoming available in clinical practice in hospitals. The cover imaging of the breast, the thorax, the abdomen, the brain, and the whole body. Among specific topics are digital image processing and machine learning techniques for detecting architectural distortion in prior mammograms, techniques for the automated segmentation of the lung in thoracic computed tomography scans, content-based image retrieval for medical image analysis, autism diagnostics by the three-dimensional shape analysis of the corpus callosum, and applying machine learning in real-time tumor localization. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)