Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

Discover the essential insights in "Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis" by Carole H. Sudre. Published by Springer Nature Switzerland AG in 2020, this first edition spans 222 pages and compiles the refereed proceedings from the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE 2020) and the Third International Workshop on Graphs in Biomedical Image Analysis (GRAIL 2020). Both workshops were held in conjunction with MICCAI 2020 in Lima, Peru.

This book is a vital resource for researchers and practitioners looking to enhance the safety and efficacy of machine learning applications in medical imaging. It addresses the complexities and uncertainties inherent in this rapidly evolving field, providing a comprehensive overview of the latest research and methodologies. Dive into this authoritative work to stay at the forefront of biomedical image analysis and machine learning innovations.