Datasets:

fhofmann
/

VertebralBodiesCT-Labels

@@ -9,4 +9,29 @@ Additionally, CT scans that were originally assigned to the test sets (73 from T
 For detailed reference, we provide the following files:
 - [data.csv](../data.csv): This file provides an overview of the vertebrae present in each case, the original assignment sets (`set_original`, either training or testing), the newly assigned set (`set`, either training or testing), and the specific fold (`fold`, -1 for testing and 0-4 for individual training folds) to which each case was assigned.
 - [splits_train-test.json](splits_train-test.json): This file contains the split into training and test sets.
-- [splits_folds.json](splits_folds.json): This file details the split into training and cross-validation sets. It is equivalent to the splits-final.json file used in nnU-Net.

 For detailed reference, we provide the following files:
 - [data.csv](../data.csv): This file provides an overview of the vertebrae present in each case, the original assignment sets (`set_original`, either training or testing), the newly assigned set (`set`, either training or testing), and the specific fold (`fold`, -1 for testing and 0-4 for individual training folds) to which each case was assigned.
 - [splits_train-test.json](splits_train-test.json): This file contains the split into training and test sets.
+- [splits_folds.json](splits_folds.json): This file details the split into training and cross-validation sets. It is equivalent to the splits-final.json file used in nnU-Net.
+## Split Statistics
+Absolute distribution of labels across splits:
+| fold  | background | T1  | T2  | T3  | T4  | T5  | T6  | T7  | T8  | T9  | T10 | T11 | T12 | T13 | L1  | L2  | L3  | L4  | L5  | L6 | sacrum |
+|-------|------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|----|--------|
+| train | 244        | 131 | 136 | 136 | 135 | 134 | 134 | 132 | 141 | 163 | 178 | 179 | 178 | 3   | 173 | 160 | 148 | 144 | 140 | 12 | 139    |
+| 0     | 244        | 137 | 140 | 144 | 140 | 131 | 131 | 138 | 145 | 164 | 171 | 179 | 176 | 3   | 169 | 157 | 140 | 140 | 134 | 11 | 142    |
+| 1     | 243        | 140 | 142 | 142 | 140 | 134 | 129 | 136 | 146 | 165 | 179 | 186 | 181 | 1   | 169 | 155 | 143 | 146 | 136 | 12 | 144    |
+| 2     | 243        | 139 | 141 | 143 | 140 | 136 | 131 | 131 | 144 | 163 | 178 | 185 | 180 | 2   | 172 | 156 | 146 | 143 | 135 | 12 | 140    |
+| 3     | 243        | 143 | 146 | 147 | 144 | 138 | 131 | 136 | 150 | 162 | 171 | 181 | 180 | 2   | 169 | 157 | 142 | 142 | 137 | 11 | 140    |
+| 4     | 243        | 136 | 138 | 141 | 136 | 134 | 133 | 136 | 145 | 164 | 179 | 180 | 180 | 3   | 169 | 163 | 147 | 145 | 140 | 11 | 142    |
+Relative distribution of labels across splits:
+| fold  | background | T1  | T2  | T3  | T4  | T5  | T6  | T7  | T8  | T9  | T10 | T11 | T12 | T13 | L1  | L2  | L3  | L4  | L5  | L6 | sacrum |
+|-------|------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|----|--------|
+| train | 16.7       | 9   | 9.3 | 9.3 | 9.2 | 9.2 | 9.2 | 9   | 9.7 | 11.2| 12.2| 12.3| 12.2| 0.2 | 11.8| 11  | 10.1| 9.9 | 9.6 | 0.8| 9.5    |
+| 0     | 16.7       | 9.4 | 9.6 | 9.9 | 9.6 | 9   | 9   | 9.5 | 9.9 | 11.2| 11.7| 12.3| 12.1| 0.2 | 11.6| 10.8| 9.6 | 9.6 | 9.2 | 0.8| 9.7    |
+| 1     | 16.6       | 9.6 | 9.7 | 9.7 | 9.6 | 9.2 | 8.8 | 9.3 | 10  | 11.3| 12.3| 12.7| 12.4| 0.1 | 11.6| 10.6| 9.8 | 10  | 9.3 | 0.8| 9.9    |
+| 2     | 16.6       | 9.5 | 9.7 | 9.8 | 9.6 | 9.3 | 9   | 9   | 9.9 | 11.2| 12.2| 12.7| 12.3| 0.1 | 11.8| 10.7| 10  | 9.8 | 9.2 | 0.8| 9.6    |
+| 3     | 16.6       | 9.8 | 10  | 10.1| 9.9 | 9.5 | 9   | 9.3 | 10.3| 11.1| 11.7| 12.4| 12.3| 0.1 | 11.6| 10.8| 9.7 | 9.7 | 9.4 | 0.8| 9.6    |
+| 4     | 16.6       | 9.3 | 9.5 | 9.7 | 9.3 | 9.2 | 9.1 | 9.3 | 9.9 | 11.2| 12.3| 12.3| 12.3| 0.2 | 11.6| 11.2| 10.1| 9.9 | 9.6 | 0.8| 9.7    |