Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation

A new statistical ideal observer model has been developed to enhance holistic visual search processing by establishing thresholds on minimum extractable image features. This model aims to streamline the system by reducing free parameters, with applications in medical image perception, computer vision, and defense/security.

A recent study has introduced an anthropomorphic thresholded visual-search model observer, enhancing task-based image quality assessment by mimicking the human visual system. This model selectively processes high-salience features, improving discrimination performance and diagnostic accuracy while filtering out irrelevant variability.