Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem

Camille Raets, Chaïmae El Aisati, Mark De Ridder, Kurt Barbé. Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem. In IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022, Messina, Italy, June 22-24, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{RaetsARB22,
  title = {Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem},
  author = {Camille Raets and Chaïmae El Aisati and Mark De Ridder and Kurt Barbé},
  year = {2022},
  doi = {10.1109/MeMeA54994.2022.9856515},
  url = {https://doi.org/10.1109/MeMeA54994.2022.9856515},
  researchr = {https://researchr.org/publication/RaetsARB22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022, Messina, Italy, June 22-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8299-8},
}