UNet based model that segment retina to 8 layers in OCT images

A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images

Micro-net is a convolution neural network (CNN) based deep learning architecture for segmentation of objects in microscopy images. We are implementing the same architecture for the Retinal Layer Segmentation.

The work presented herein describes the development and implementation of novel computer algorithms for quantitative analysis of SD-OCT images of live teleost eyes.

Computer Assisted Segmentation Tool Environment Revisit