Article Versions Notes

Wesdorp N, Zeeuw M, van der Meulen D, van ‘t Erve I, Bodalal Z, Roor J, van Waesberghe JH, Moos S, van den Bergh J, Nota I, et al. Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models. Cancers. 2023; 15(23):5648. https://doi.org/10.3390/cancers15235648

Wesdorp, Nina, Michiel Zeeuw, Delanie van der Meulen, Iris van ‘t Erve, Zuhir Bodalal, Joran Roor, Jan Hein van Waesberghe, Shira Moos, Janneke van den Bergh, Irene Nota, and et al. 2023. "Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models" Cancers 15, no. 23: 5648. https://doi.org/10.3390/cancers15235648

Wesdorp, N., Zeeuw, M., van der Meulen, D., van ‘t Erve, I., Bodalal, Z., Roor, J., van Waesberghe, J. H., Moos, S., van den Bergh, J., Nota, I., van Dieren, S., Stoker, J., Meijer, G., Swijnenburg, R.-J., Punt, C., Huiskens, J., Beets-Tan, R., Fijneman, R., Marquering, H., ... on behalf of the Dutch Colorectal Cancer Group Liver Expert Panel. (2023). Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models. Cancers, 15(23), 5648. https://doi.org/10.3390/cancers15235648