Machine Learning in Medical Imaging

This volume highlights key advancements in the application of machine learning techniques within medical imaging, as presented at the MLMI 2014 workshop.

The book Machine Learning in Medical Imaging presents the refereed proceedings from the 5th International Workshop on Machine Learning in Medical Imaging, which took place in September 2014, alongside the MICCAI 2014 conference in Cambridge, MA. This volume compiles 40 carefully selected contributions from a total of 70 submissions, showcasing the latest advancements and ongoing challenges in the realm of machine learning applications in medical imaging.

The selected papers delve into significant trends and innovative techniques that are shaping the future of medical imaging. Each contribution has undergone a rigorous review process to ensure high-quality content that addresses the most pressing issues in the field. The focus is on identifying cutting-edge methodologies and their practical implementations, providing insights that can enhance diagnostic processes and patient care.

Overall, Machine Learning in Medical Imaging serves as a valuable resource for researchers, practitioners, and students interested in the intersection of artificial intelligence and healthcare. The compilation not only highlights the current state of research but also encourages further exploration of machine learning solutions to improve medical imaging practices and outcomes.