Code for the experiments described in the DermX paper. Requirements must be installed with python 3.7.5
.
Each of the two architecture folders, efficientnet
and resnet
contains the Jupyter notebooks used to run the
hyper-parameter optimisation, the training of the five models considered in the paper, and the code needed to generate
Grad-CAM visualisations. Grad-CAM notebooks use the methods stored in explanations/xgradcam.py
.