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ClementPla/MultiStyle_FundusLesionSegmentation

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This repository contains the code associated to the paper "Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks"

Installation

pip install .

To train the model, you will have to adjust the config file to correspond the paths to the five datasets:

1. IDRID
2. MESSIDOR
3. FGADR
4. DDR
5. RETINAL LESIONS

Semantic Segmentation

We focus on the semantic segmentations of:

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

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

Style conversion

Modifying an image by adversarial attacks to move from RETINAL LESIONS to IDRiD style.

Visualization of the values added by gradient attack.

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