Total Knee Replacement Prediction using Twin Class Distribution Estimation

Our study implemented the self-supervised learning method, Twin Class Distribution Estimation, with unlabeled knee MR images. The self-supervised pretraining improves the downstream analysis in predicting total knee replacement within 9 years using labeled knee MR images. The self-supervised features are shown to be efficient classifiers in TKR prediction.