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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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