Automated Classification of Inherited Retinal Diseases in Optical Coherence Tomography Images Using Few-shot Learning.

Objective: To develop a few-shot learning (FSL) approach for classifying optical coherence tomography (OCT) images in patients with inherited retinal disorders (IRDs).

Methods: In this study, an FSL model based on a student-teacher learning framework was designed to classify images. 2,317 images from 189 participants were included.