Superpixel-skin-lesion-segmentation

This repository contains the necesary code to reproduce the results of the paper Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging presented in the conference MICCAI 2018.

To run the code simply switch to the adequate paths to the PH2 or ISIC dataset inside main.py, and then type:

python main.py

Please cite the paper as:

@incollection{Patio2018,
  doi = {10.1007/978-3-030-00937-3_83},
  url = {https://doi.org/10.1007/978-3-030-00937-3_83},
  year = {2018},
  publisher = {Springer International Publishing},
  pages = {728--736},
  author = {Diego Pati{\~{n}}o and Jonathan Avenda{\~{n}}o and John W. Branch},
  title = {Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging},
  booktitle = {Medical Image Computing and Computer Assisted Intervention {\textendash} {MICCAI} 2018}
}