Approximating the Hotelling observer with autoencoder-learned efficient channels for binary signal detection tasks.

AEs are demonstrated to be capable of learning efficient channels for the HO. The resulting significant increase in detection performance for small dataset sizes when incorporating a signal prior holds promising implications for future assessments of imaging technologies.