Article

Segmenting with Confidence: Uncertainty Quantification for Brain Tumor Imaging

2026-01-09

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<title>Abstract</title> <p>Purpose To develop and validate a deep learning framework that provides clinically meaningful uncertainty estimates for meningioma segmentation, enabling more trustworthy longitudinal volumetric assessment. Materials and Methods In this retrospective study, we developed an evidential deep learning (EDL) ensemble framework and trained it on 1,655 post-contrast T1-weighted brain MRIs fr...

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Literature Corpus work: bc4d20d2-ee8c-5aae-bb6d-a689eae82824
DOI: 10.21203/rs.3.rs-8407421/v1

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