A lightweight white blood cells detection network based on CenterNet and feature fusion modules
Lianghong Wu,
Yujie Zou,
Cili Zuo
et al.
Abstract:White blood cells detection is significant to the diagnosis of many diseases. However, the detection accuracy can be influenced by the significant differences in color, size and morphology of white blood cells in the images. In this paper, an improved CenterNet with smaller model size, fewer parameters, and lower computational complexity is proposed for the white blood cells accurate detection. Firstly, the lightweight backbone GhostNetv2 is selected to reduce the model size, parameters and computational compl… Show more
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