Table 8 Summary of dataset for pretraining and fine-tuning in multi-labeled pediatric thoracic disease classification and cardiovascular disease classification.

From: Integrating snapshot ensemble learning into masked autoencoders for efficient self-supervised pretraining in medical imaging

Tasks

Pretraining/fine-tuning

Dataset Name

Data Category

Number of (pre)training data

Number of test data

Multi-labeled pediatric thoracic disease classification

Pretraining data

ChestX-ray14

–

112,120

–

CheXpert

–

191,229

–

Fine-tuning data

PediCXR

No finding

5,143

907

Bronchitis

842

174

Broncho-pneumonia

545

84

Bronchiolitis

497

90

Pneumonia

392

89

Other diseases

485

85

Cardiovascular disease classification

Pretraining data

Chapman

–

9,392

–

Fine-tuning data

Chapman

Atrial Fibrillation (AFIB)

1,602

178

Atrial Flutter (AF)

394

44

Sinus Tachycardia (ST)

1,408

156

Supraventricular Tachycardia (SVT)

490

54

Sinus Bradycardia (SB)

3,499

389

Sinus Rhythm (SR)

1,642

183

Sinus Irregularity (SI)

357

40

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