Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases - Taghavi, Marjaneh; Trebeschi, Stefano; Simões, Rita; Meek, David B.; Beckers, Rianne C. J.; Lambregts, Doenja M. J.; Verhoef, Cornelis; Houwers, Janneke B.; van der Heide, Uulke A.; Beets-Tan, Regina G. H.; Maas, Monique (Abdominal imaging, 2021)
Keywords: Bayesian analysis; Biomarkers; Colorectal cancer; Colorectal carcinoma; Computed tomography; Correlation coefficients; Feature extraction; Gastroenterology; Hepatology; Image segmentation; Imaging; Learning algorithms; Liver; Liver cancer; Machine learning; Mathematical models; Medicine; Medicine & Public Health; Metastases; Metastasis; Parenchyma; Patients; Prediction models; Predictions; Radiology; Radiomics; Stability analysis; Technical; Tomography; Neoplasm metastasis; X-ray computed; Liver neoplasms; Colorectal cancer; Machine learning