Bayesian Uncertainty Quantification of Breast-Cancer Pathology AI Agreement under Reader- and Annotation-Condition-Dependent Reference Labels

arXiv:2610.14642 · q-bio.QM, stat.AP, stat.CO, stat.ME · Submitted 2026-10-10 · Read on arXiv

q-bio.QM, stat.AP, stat.CO, stat.ME

Submitted: 2026-10-10

Updated: 2026-10-10

Comments: In Review with Journal of Medical Imaging

Code: https://github.com/haolayinka/Nucls-ai-uq

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Related papers

• Direct RNA sequence design under codon constraints using expressive tensor-based secondary structure models
• A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
• Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
• Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
• Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics
• Resolving satellite-in situ mismatches in Net Primary Production using high-frequency in situ bio-optical observations in the subpolar Northwest Atlantic