Radiology. Artificial intelligenceDeep LearningHumansRetrospective StudiesMagnetic Resonance ImagingTomography
Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models.
Daniel Scholz, Ayhan Can Erdur, Jan C Peeken, Aswathi Varma, Robert Graf, Jan S Kirschke, Daniel Rueckert, Benedikt Wiestler
Published: 202610.1148/ryai.240502
Abstract
Purpose To evaluate random convolutions as an augmentation strategy for improving domain generalization of deep learning-based segmentation models in medical imaging. Materials and Methods In this retrospective study, a random convolution-based augme…
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