Research Article

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

Table 11

10-fold cross-validation results comparison with other works.

ModelTrain: test settingDatasetAcc. (%)

ResNet-50 (Tran_aug3 + GAN_aug3)10-Fold CVLISC97.4
DenseNet-121 (Tran_aug3 + GAN_aug3)10-Fold CVLISC98.3
DenseNet-169 (Tran_aug3 + GAN_aug3)10-Fold CVLISC98.8
Linear discriminant analysis (LDA) [46]10-Fold CVPrivate93.9
Neural network + PCA [47]75%: 25%Kanbilim95.0
W-net [48]10-Fold CVPrivate97.0
W-net [48]10-Fold CVLISC + private96.0
Linear SVM [49]10-Fold CVCellaVision85.0