This is the repository for the DermAItoscope, a skin cancer classifying app, which runs on a Flask backend.
The model is trained on a EfficientNet and achieves approximately 92% of AUC on a balanced dataset. Further infomration about the computer vision model can be found here: https://www.kaggle.com/fanconic/skin-cancer-efficientnetb0
If you wish to replicate the backend service, you can clone this repository.
$ git clone https://github.com/fanconic/dermAI
Move into the source directory:
$ cd dermAI
The backend microservices can be started with the following command:
$ sudo docker-compose up
Currently working on version 2.0
