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Rapid quantification of liver metastasis for diagnosis and follow-up is an unmet medical need in patients with secondary liver malignancies. We present a 3D-quantification model of neuroendocrine liver metastases (NELM) using gadoxetic-acid (Gd-EO-enhanced MRI as a useful tool for multidisciplinary cancer conferences (MCC). Manual 3D-segmentations of NELM and livers (149 patients in 278 Gd-EOB MRI scans) were used to train a neural network ( -Net architecture). Clinical usefulness was evaluated in another 33 patients who were discus