Hotelling observer error

Hotelling observer error refers to the measurement of how accurately a trained observer can distinguish between different images or signals, such as detecting a tumor in medical scans. It considers the variability and noise in the images, assessing the observer’s ability to discriminate signal from background. Essentially, it quantifies the detection performance by analyzing differences and similarities in image data, providing a statistical measure of detection confidence. Lower Hotelling observer error indicates better detection ability, while higher error suggests more difficulty in reliably identifying the signal amid noise.