Skin Lesion Classification - An Educational Guide

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

Dependencies

• jupyter
• matplotlib
• numpy
• scikit-learn
• torch
• torchvision
• pandas
• imageio
• seaborn
• glob3
• scipy

Getting Started

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.