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Found 4 papers, 2 papers with code
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
While multiple studies have explored the relation between inter-rater variability and deep learning model uncertainty in medical segmentation tasks, little is known about the impact of individual rater style.
Benefits of Linear Conditioning with Metadata for Image Segmentation
This metadata is usually disregarded by image segmentation methods.
ivadomed: A Medical Imaging Deep Learning Toolbox
ivadomed is an open-source Python package for designing, end-to-end training, and evaluating deep learning models applied to medical imaging data.
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Despite recent improvements in medical image segmentation, the ability to generalize across imaging contrasts remains an open issue.
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