@article{b2557cba8a9044de979be242a53b4247,
title = "Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review",
keywords = "Artificial intelligence, Metastasis, Neoadjuvant chemotherapy, Quantitative imaging analysis, Response, CT TEXTURE ANALYSIS, CONTRAST-ENHANCED CT, INTRA-TUMOR HETEROGENEITY, RECTAL-CANCER, NEOADJUVANT CHEMORADIOTHERAPY, LIVER METASTASES, PREOPERATIVE CHEMORADIOTHERAPY, PATHOLOGICAL RESPONSE, PERSONALIZED APPROACH, THERAPEUTIC RESPONSE",
author = "F.C.R. Staal and {van der Reijd}, D.J. and M. Taghavi and D.M.J. Lambregts and R.G.H. Beets-Tan and M. Maas",
year = "2021",
month = mar,
day = "1",
doi = "10.1016/j.clcc.2020.11.001",
language = "English",
volume = "20",
pages = "52--71",
journal = "Clinical Colorectal Cancer",
issn = "1533-0028",
publisher = "CIG Media Group, L.P.",
number = "1",
}