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DACHS_model

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Project Name

This project includes the model described in the Lancet Digital Health for colorectal cancer prognostic prediction.

End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study

Usage

Make sure you have cloned the marugoto repository from the survival branch.

Reference

If you find our work useful in your research or if you use parts of this code please consider citing our paper:

@article{JIANG2024e33,
    title = {End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study},
    author = {Xiaofeng Jiang and Michael Hoffmeister and Hermann Brenner and Hannah Sophie Muti and Tanwei Yuan and Sebastian Foersch and Nicholas P West and Alexander Brobeil and Jitendra Jonnagaddala and Nicholas Hawkins and Robyn L Ward and Titus J Brinker and Oliver Lester Saldanha and Jia Ke and Wolfram Müller and Heike I Grabsch and Philip Quirke and Daniel Truhn and Jakob Nikolas Kather}
    journal = {The Lancet Digital Health},
    volume = {6},
    number = {1},
    pages = {e33-e43},
    year = {2024},
    issn = {2589-7500},
    doi = {https://doi.org/10.1016/S2589-7500(23)00208-X}
}