Skip to main content
Fig. 4 | BMC Medical Imaging

Fig. 4

From: Preoperative prediction of lymph node metastasis in intrahepatic cholangiocarcinoma: an integrative approach combining ultrasound-based radiomics and inflammation-related markers

Fig. 4

Predictive models were developed and validated by screening radiomics features with machine learning algorithms. A total of 107 predictive models were constructed, and the AUC values of each model in the training and validation cohorts and their average AUC values were calculated and ranked in descending order of average AUC values. The performance of each model is presented through three key indicators: Training cohort AUC, Validation cohort AUC, and their average. Average AUC= (training cohort AUC + validation cohort AUC) /2

Back to article page