Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
IEEE Transactions on Medical Imaging, pp. 2531-2540, 2020.
Recent advances in deep learning for medical image segmentation demonstrate expert-level accuracy. However, application of these models in clinically realistic environments can result in poor generalization and decreased accuracy, mainly due to the domain shift across different hospitals, scanner vendors, imaging protocols, and patient po...More
Get fulltext within 24h
Full Text (Upload PDF)
PPT (Upload PPT)