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Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
Scale-ambiguity in 3D scene dimensions leads to magnitude-ambiguity of volumetric densities in neural radiance fields, i. e., the densities double when scene size is halved, and vice versa.
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
Recent developments in deep learning (DL) techniques have led to great performance improvement in medical image segmentation tasks, especially with the latest Transformer model and its variants.
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