DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening.

To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (self-supervised learning) and unsupervised domain adaptation (unsupervised domain adaptation) to enhance model generalisability for retinopathy of prematurity (retinopathy of prematurity) screening.