It is the official implementation of the paper "MFEFNet: Multiscale feature extraction fusion network for diabetic retinopathy lesion segmentation".
You can use environment.yml to help you build the running environment for the code.
conda env create -f environment.yml -n MFEFNetenv
You can adjust the hyperparameters of the model in the file and then just run mian.py.
If you have any problem, please contact us or write your questions in the issues part.