This repository an imlementation of recent progress in the application of deep learning and other artifical intelligence methods in Ophthalmology, especially for Optical Coherence Tomography. Optical Coherence Tomography (OCT) is a clinical applicable imaging modelity due to its high resolution (<2 um), great imaging depth (~ 2 mm) and fast imaging speed (~200 kHz, B scan). Since the contrast of imaging is coming from the scattering effect difference for various tissue characters, OCT is mostly served as a major method to examine the structure change in retina. Considering the natural signal-to-noise ratio is relativly low due to the omnipresent scattering in tissue, it is still challenging for physicians to distinguish different retina layers and sturcuture changes such as . #Data

#Implemented state-of-art Methods

#Result and Application