![pitchperfect y pitchperfect y](https://static2.srcdn.com/wordpress/wp-content/uploads/2020/03/Pitch-Perfect-Bellas-Finale-Cropped-1.jpg)
The median DSI for each model was: 0.89 (logistic), 0.885 (LASSO), 0.88 (GAM), and 0.899 (random forest). We tested equality of the median DSI from sets of 2 models using a Wilcoxon signed-rank test.Īll results presented are for the 102 scans in the validation set. We tested equality of median DSI using the Kruskal-Wallis test across the 4 models.
#Pitchperfect y manual#
These masks were compared to the manual segmentations using the Dice Similarity Index (DSI) and the correlation of hemorrhage volume of between the two segmentations. These voxel-level probabilities were then thresholded to produce binary segmentations of the hemorrhage. The remaining 102 scans were used for model validation.For each validation scan, the model predicted the probability of ICH at each voxel. The models used were: 1) logistic regression, 2) logistic regression with a penalty on the model parameters using LASSO, 3) a generalized additive model (GAM) and 4) a random forest classifier. Using 10 randomly-selected scans, we used a first-pass voxel selection procedure based on quantiles of a set of predictors and then built 4 models estimating the voxel-level probability of ICH. We derived a set of imaging predictors from each scan. ICH was manually segmented on these CT scans by expert readers. For this analysis, we use 112 baseline CT scans from patients enrolled in the MISTE trial, one CT scan per patient. The Minimally Invasive Surgery plus rt-PA in ICH Evacuation (MISTIE) trial was a multi-site Phase II clinical trial that tested the safety of hemorrhage removal using recombinant-tissue plasminogen activator (rt-PA).