Research Article
Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network
Table 1
Comparison of the proposed approach with other works.
| Method | Description of the approach |
| (Bikhet et al.) [28] | Image preprocessing, feature extraction, and classification | (Piuri and Scotti) [27] | Features extracted, feature selection, and classification | (Hiremath et al.) [29] | Advanced image processing, feature extraction, and classification | (Mathur et al.) [7] | Image processing, feature extraction, and classification | (Gautam et al.) [30] | Feature extraction and Naïve Bayes classifier | (Rawat et al.) [31] | Feature extraction and selection via PCA and classification | (Ours—GAN and DCNN) | No image processing. Automatic feature extraction. Data augmentation and classification via GAN and DNN, respectively |
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