A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT

摘要

PurposeThis work aims to develop a new framework of image quality assessment using deep learning-based model observer (DL-MO) and to validate it in a low-contrast lesion detection task that involves CT images with patient anatomical background.