Reference

Generate MIMoSA Data This function generates the MIMoSA data.
mimosa_data()	MIMoSA Training Data Frame
Training the MIMoSA Model These functions train the MIMoSA model from the training data or by generating the training data and then fitting the model.
mimosa_training()	Train MIMoSA model on full training set
mimosa_fit()	MIMoSA Fit on Training Data
MIMoSA Formula Options This function outputs the MIMoSA formula based on image modalities included and excluded from the full model. This may be useful for training.
mimosa_formula()	MIMoSA Model Formula
Pre-Trained MIMoSA Models These data contain the MIMoSA pre-trained models. These various models each utilize different imaging modalities during training.
mimosa_model	MIMoSA trained model when all images are input
mimosa_model_No_PD	MIMoSA trained model when PD sequence is missing
mimosa_model_No_PD_T2	MIMoSA trained model when PD and T2 sequences are missing
mimosa_model_No_T2	MIMoSA trained model when T2 sequence is missing
Calculate Performance Statistics This function calculate segmentation performance metrics like true positive rate, false positive rate, false negative rate, false positive count, and sensitivity.
count_stats()	Calculate performance statistics