This notebook contains the code for a medium blog which was submitted to the MICCAI Educational Challenge 2019.
Link to the blog : https://medium.com/miccai-educational-initiative/skin-cancer-image-classification-an-educational-guide-2a043a1beb59
- jupyter
- matplotlib
- numpy
- scikit-learn
- torch
- torchvision
- pandas
- imageio
- seaborn
- glob3
- scipy
Clone this repository to your system.
git clone https://github.com/IFL-CAMP/SLClassificationAnEducationalCode-MEC2019.git
cd SLClassificationAnEducationalCode-MEC2019
It's best if you install a virtual environment for python3 so you don't run into dependency problems(optional): https://virtualenv.pypa.io/en/latest/ or https://docs.conda.io/en/latest/miniconda.html
If you don't have the dependencies installed, run:
pip install -r requirements.txt
Launch jupyter in the command line.
jupyter notebook
Go through the entire notebook by running each cells sequentially.