aqaaqaaqa / MFEFNet

Welcome! It is the official implementation of the paper "MFEFNet: Multiscale feature extraction fusion network for diabetic retinopathy lesion segmentation".

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MFEFNet

It is the official implementation of the paper "MFEFNet: Multiscale feature extraction fusion network for diabetic retinopathy lesion segmentation".

overview

Bulid environment

You can use environment.yml to help you build the running environment for the code.

conda env create -f environment.yml -n MFEFNetenv

Training

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.

About

Welcome! It is the official implementation of the paper "MFEFNet: Multiscale feature extraction fusion network for diabetic retinopathy lesion segmentation".


Languages

Language:Python 97.5%Language:Cuda 1.8%Language:C++ 0.7%