LUCAS

This is the Pytorch implementation of LUCAS: LUng CAncer Screening with Multimodal Biomarkers presented at the Multimodal Learning for Clinical Decision Support workshop ML-CDS in MICCAI, 2020.

<img src=”img/overview_LUCAS.png” width=500”//>

LUCAS dataset and pretrained models

You can access the LUCAS dataset, corresponding annotations, and pretrained models following this link

Installation

Requirements:

• Python >= 3.6
• Pytorch == 1.4
• Numpy
• NiBabel
• Apex (optional, for Automatic Mixed Precision training)

Citation

@inproceedings{daza2020lucas,
  title={LUCAS: LUng CAncer Screening with Multimodal Biomarkers},
  author={Daza, Laura and Castillo, Angela and Escobar, Maria and Valencia, Sergio and Pinz{\'o}n, Bibiana and Arbel{\'a}ez, Pablo},
  booktitle={Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures},
  pages={115--124},
  year={2020},
  organization={Springer}
}

Acknowledgments

This project was partially supported by the Google Latin America Research Awards (LARA) 2019.