Ines Gonzalez Pepe

Deep learning training variability can improve neuroimaging reliability

A new research paper explores the numerical uncertainty inherent in deep learning model training, particularly within neuroimaging. Researchers found that the FastSurfer segmentation model exhibits significant numerical…