Quantifying uncertainty in machine learning classifiers for medical imaging.

John ValenIndranil BalkiMauro MendezWendi QuJacob LevmanAlexander BilbilyPascal N Tyrrell

Published in: International journal of computer assisted radiology and surgery (2022)

This paper demonstrated the importance of uncertainty reporting alongside predictions in medical imaging. Results demonstrate considerable potential from automatically assessing classifier reliability on each prediction with the proposed uncertainty metric.

Keyphrases

machine learning
high resolution
healthcare
big data
adverse drug
fluorescence imaging
photodynamic therapy
human health