Man pages for neuroconductor/rtapas
TAPAS: A thresholding approach for probability map automatic segmentation automatic segmentation
| brain_mask | Brain Mask |
| gs1 | Gold Standard 1 |
| gs10 | Gold Standard 10 |
| gs11 | Gold Standard 11 |
| gs12 | Gold Standard 12 |
| gs13 | Gold Standard 13 |
| gs14 | Gold Standard 14 |
| gs15 | Gold Standard 15 |
| gs2 | Gold Standard 2 |
| gs3 | Gold Standard 3 |
| gs4 | Gold Standard 4 |
| gs5 | Gold Standard 5 |
| gs6 | Gold Standard 6 |
| gs7 | Gold Standard 7 |
| gs8 | Gold Standard 8 |
| gs9 | Gold Standard 9 |
| make_scattergram | Make a Scatterplot of Subject-Level Thresholds with Marginal... |
| pmap1 | Probability Map 1 |
| pmap10 | Probability Map 10 |
| pmap11 | Probability Map 11 |
| pmap12 | Probability Map 12 |
| pmap13 | Probability Map 13 |
| pmap14 | Probability Map 14 |
| pmap15 | Probability Map 15 |
| pmap2 | Probability Map 2 |
| pmap3 | Probability Map 3 |
| pmap4 | Probability Map 4 |
| pmap5 | Probability Map 5 |
| pmap6 | Probability Map 6 |
| pmap7 | Probability Map 7 |
| pmap8 | Probability Map 8 |
| pmap9 | Probability Map 9 |
| tapas_data | Generates the TAPAS Training Data |
| tapas_data_par | Generates The TAPAS Training Data in Parallel |
| tapas_predict | TAPAS Prediction |
| tapas_predict_par | TAPAS Prediction in Parallel |
| tapas_train | TAPAS Model Training |
