Leveraging uncertainty information from deep neural networks for disease detection
Christian Leibig, Vaneeda Allken, Murat Seçkin Ayhan, Philipp Berens, Siegfried Wahl
This paper evaluates Bayesian uncertainty measures in deep learning for diabetic retinopathy detection, showing improved diagnostic performance through uncertainty-informed decision referral.
Scientific Reports · Dec 13, 2017Peer-reviewedBioinformatics