Machine Learning in Medical Imaging

By Fei Wang

Subjects: Image Processing and Computer Vision, Artificial Intelligence, Congresses, Database management, Methods, Optical pattern recognition, Computer graphics, Computer vision, Machine learning, Automated Pattern Recognition, Diagnostic imaging, Artificial intelligence, Computer science, Artificial Intelligence (incl. Robotics), Computer Imaging, Vision, Pattern Recognition and Graphics, Data processing, Pattern perception, Medical applications, Image Interpretation, Computer-Assisted

Description: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. <br>The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.