Research Article

Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network

Table 9

10-fold cross-validation accuracy of the DNN models initialized using random weights.

ModelTran_aug1 + GAN_aug1 (200 inst./class) (%)Tran_aug2 + GAN_aug2 (300 inst./class) (%)Tran_aug3 + GAN_aug3 (400 inst./class) (%)

VGG-1692.593.293.9
VGG-1993.393.794.4
ResNet-1893.294.595.1
ResNet-5094.295.295.6
DenseNet-12195.596.197.3
DenseNet-16995.996.397.3