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Table 1 Class label distribution for the four datasets used in this study in the format ‘0/1’ where ‘0’ represents the number of negative examples for that class and ‘1’ represents the number of positive examples of that class present in the dataset

From: Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning

Dataset

Task Name (Absence / Presence)

Tumour (‘T’) (0/1)

Node (‘N’) (0/1)

Metastasis (‘M’) (0/1)

Uncertainty (‘u’) (0/1)

Internal Train

472 / 1527

1321 / 678

1609 / 398

1700 / 299

Internal Validation

55 / 194

160 / 89

189 / 60

213 / 36

Internal Test

54 / 196

157 / 93

194 / 56

208 / 42

External Test

89 / 372

285 / 176

336 / 125

393 / 68