/fyp2022-imaging

Primary LanguagePython

First year project 2 - imaging

This repository contains some starting data and code for the first year project imaging. All other information is provided via LearnIT.

Data

The ISIC 2017 dataset is available via https://challenge.isic-archive.com/landing/2017. There are more than 2000 images available in this dataset. In this repository, only 150 images from this dataset are added, as an example. The following is available per image:

  • ISIC_[ID].png the image of the lesion
  • ISIC_[ID]\_segmentation.png the mask of the lesion, showing which pixels belong to the lesion or not
  • The label of the image, i.e. whether it belongs to the Melanoma class (0 = no, 1 = yes), and/or the Keratosis class (0 = no, 1 = yes).

You can also use additional/external data for the later tasks in this project.

Code

In this project you will work with Python. Some starting code is already provided:

  • groupXY_functions.py with functions to extract features etc.
  • groupXY.py with the main script, which loads the images, calls the functions, and reproduces the results.