Distinguishing benign and malignant myxoid soft tissue tumors: Performance of radiomics vs. radiologists
Fig 2
Feature importance generated by a logistic regression classifier to differentiate benign and malignant myxoid tumors.
The classifier was fitted using the top 17 radiomic and clinical features, which were selected most frequently by the LASSO models. Features are arranged from left to right in decreasing order of selection frequency. The top 6 features (on the left) were selected by all LASSO models. Normalized value is the log odds ratio of each feature’s association with malignancy, i.e., the greater the magnitude of a positive value, the more likely malignant.