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A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
[article]
2020
arXiv
pre-print
Computer-Aided Diagnosis has shown stellar performance in providing accurate medical diagnoses across multiple testing modalities (medical images, electrophysiological signals, etc.). While this field has typically focused on fully harvesting the signal provided by a single (and generally extremely reliable) modality, fewer efforts have utilized imprecise data lacking reliable ground truth labels. In this unsupervised, noisy setting, the robustification and quantification of the diagnosis
arXiv:2007.13847v2
fatcat:zvzktk7rpnaqrcshhlruk67kya