arXiv Machine Learning August 18, 2026 By Simon Baur, Arne Schernich, Ekin B\"oke, Wojciech Samek, Jackie Ma

Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation

Read the original on arXiv Machine Learning →

arXiv:2608. 14766v1 Announce Type: cross Abstract: Uncertainty estimation is critical for the safe clinical deployment of deep learning in medical image segmentation, with aleatoric uncertainty theoretically designed to capture irreducible data ambiguity.

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