Prediction of short-term anatomic prognosis for central serous chorioretinopathy using a generative adversarial network.

Purpose: To train generative adversarial network (GAN) models to generate predictive optical coherence tomography (OCT) images of central serous chorioretinopathy (CSC) at 3 months after observation using multi-modal OCT images.

Methods: Four hundred forty CSC eyes of 440 patients who underwent Cirrus OCT imaging were included. Baseline OCT B-scan images through the foveal center, en face choroid, and en face ellipsoid zone were collected from each patient.