Self-Supervised OCT Representation Learning with Local Dimensionality Regularization for Automated Retinal Disease Diagnosis
A self-supervised representation learning framework with local dimensionality regularization for retinal OCT image classification that can improve the discrimination of sensor-acquired OCT images while reducing reliance on manual annotations is proposed, providing an effective approach for intelligent analysis of biome...