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Dense-Res Net for Endoscopic Image Classification

This source code is implement from paper Dense-Res Net for Endoscopic Image Classification

Installation

Use the package manager pip to install necessary packages.

pip install -r requirement.txt

Installation

Download Kvasir dataset from https://datasets.simula.no/kvasir/

Usage

Make sure you fix the right directory of the dataset and then run

python train.py

to train model

python evaluate.py

to evaluate your model

python predict.py

to predict the result of model on 1 images

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

You can cite our paper that public on CS & IT series with title " Dense-Res Net for Endoscopic Image Classification " CS & IT

License

MIT

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Res-Dense Net architecture for Endoscopic Image Classification

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