High-Efficiency Classification of White Blood Cells Based on Object Detection

Figure 4

Yolov4 architecture. The backbone is CSPDarknet53 used to feature extraction, the Neck layer (usually between backbone and output) is used to collect feature maps in different stages to better extract fusion features, and the prediction module is used for the output detection result.