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Found 4 papers, 1 papers with code
Redesigning Out-of-Distribution Detection on 3D Medical Images
EPD is our core contribution to the new problem design, allowing us to rank methods based on their clinical impact.
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation
Segmentation-dedicated ones still achieve suboptimal performance, with the best mean FPR of 0. 31 (lower is better).
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images
Carefully discussing the limitations, we conclude that our method solves the sample-level OOD detection on 3D medical images in the current setting.
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
When applying a Deep Learning model to medical images, it is crucial to estimate the model uncertainty.
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