Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows

• Main Authors: Williams, Elena, Niehaus, Sebastian, Reinelt, Janis, Merola, Alberto, Mihai, Paul Glad, Villringer, Kersten, Thierbach, Konstantin, Medawar, Evelyn, Lichterfeld, Daniel, Roeder, Ingo, Scherf, Nico, Hernández, Maria del C. Valdés
• Format: Journal Article
• Language: English
• Published: 06.12.2021
• Subjects: Computer Science - Artificial Intelligence; Computer Science - Computer Vision and Pattern Recognition; Statistics - Machine Learning

Machine learning algorithms underpin modern diagnostic-aiding software, which has proved valuable in clinical practice, particularly in radiology. However, inaccuracies, mainly due to the limited availability of clinical samples for training these algorithms, hamper their wider applicability, accept...