Table 1 Performance of cancer types prediction models based on the constructed dataset.

From: A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation

Model

ACC

QWK

ResNet38

0.6197

0.4339

EfficientNet39

0.6197

0.4583

CABNet40

0.5493

0.4861

ResNext41

0.5775

0.4548

Res2Net42

0.6479

0.3102

SE-ResNet43

0.6338

0.4750

ViT-Transformer44

0.6056

0.4468

InceptionV445

0.6202

0.5175

ConvNext46

0.6056

0.4185

Swin-Transformer47

0.5352

0.3191