Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques

Oncotarget
|April 4, 2025
PubMed
Summary

Deep learning models improve diagnostic accuracy in hepatobiliary imaging. Uncertainty quantification and novel networks like AHUNet enhance reliability for detecting cancer and precancerous lesions.