Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry.

Janek Gröhl Kylie YeungKevin GuThomas R ElseMonika GolinskaEllie V BunceLina Hacker Sarah Elizabeth Bohndiek

Published in: Journal of biomedical optics (2024)

A flexible data-driven network architecture combined with the Jensen-Shannon divergence to predict the best training data set provides a promising direction that might enable robust data-driven photoacoustic oximetry for clinical use cases.

Keyphrases

fluorescence imaging
electronic health record
big data

solid state
virtual reality

photodynamic therapy
machine learning

deep learning
network analysis