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Table 1 Summary of key features from the included studies [12, 23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54]

From: Radiomics in the evaluation of ovarian masses — a systematic review

  1. BSM-MLR backward stepwise multivariate logistic regression, CR Cox regression, DL-RNA deep learning-ResNet architecture, L-CR Lasso-Cox regression, LASSO least absolute shrinkage and selection operator, LR logistic regression, ML machine learning, MLR multivariate logistic regression, MMR multivariate multiple regression, MR multiple regression, MVA multivariate analysis, NNC-MPN Neural Network Classifier-Multilayer Perceptron Networks, PCS proprietary CAD scheme, RF random forest, RFC random forest classifier, RK radial kernel, SVM support vector machine, UA univariate analysis, ULR univariate logistic regression, UMR univariate multiple regression
  2. In the QUIPS column: red, amber and green signify high, moderate and low risk respectively
  3. In the RQS column, the lowest scores are red and this is a spectrum progressing through amber to green which signifies the highest scores