Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification

CONCLUSION: Using a combination of the recently developed pretrained convolutional neural network (CNN), DenseNet, and the one fit cycle policy, this study describes a technique of training for the classification of WBCs for leukemia detection. The proposed method is more accurate compared to the state of the …