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.

MethodDescription 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