The ability of an observer to perform a specific task on images, produced by a given medical imaging
systems, defines an objective measure of image quality.
If the observer is “numerical”, can deep learning methods “do the job”? What we found in the literature?
Some papers rise this issue and propose to approximate the Ideal Observer for performing tasks detection and
localization.
Zhou W, Li H, Anastasio MA. 2019. Approximating the Ideal Observer and Hotelling Observer for Binary
Signal Detection Tasks by Use of Supervised Learning Methods.
Zhou, Weimin and Li, Hua and Anastasio, Mark A. 2020. Approximating the Ideal Observer for Joint Signal
Detection and Localization Tasks by use of Supervised Learning Methods.
Li K, Zhou W, Li H, Anastasio MA. 2021. Assessing the Impact of Deep Neural Network-Based Image
Denoising on Binary Signal Detection Tasks.