ClementP/fundus-lesions-segmentation-unet_seresnext50_32x4d

Lesions Segmentation in Fundus

Introduction

We focus on the semantic segmentations of:

1. 1.Cotton Wool Spot
2. 2.Exudates
3. 3.Hemmorrhages
4. 4.Microaneurysms

For an easier use of the models, we refer to cleaned-up version of the code provided in the fundus lesions toolkit.

Architecture

The model uses unetseresnext5032x4d as architecture. The implementation is taken from torchSeg

Training datasets

The model was trained on the following datasets: DDR, FGADR, IDRID, MESSIDOR, RETLES

Resolution

The image resolution for training was set to 1024 x 1024.