Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations

Table 1

Comparison results of different ODE-block positions.

Algorithm	PA (%)	CPA (%)			MIoU (%)	Time (s)
		Background	Red cells	White cells
U-Net	94.59	92.55	96.54	94.10	88.58	0.15
ODE-UNet1	95.05	94.25	95.97	93.92	89.80	7.35
ODE-UNet2	95.08	94.23	95.69	95.98	89.68	3.73
ODE-UNet3	95.11	95.14	95.70	91.65	89.61	1.94
ODE-UNet4	95.19	94.08	96.51	93.42	90.17	1.03
ODE-UNet5	95.05	95.62	94.62	94.53	89.62	0.61
ODE-UNet6	95.14	93.78	96.34	95.39	90.09	1.06
ODE-UNet7	95.17	93.80	96.59	94.19	90.02	1.95
ODE-UNet8	95.16	94.33	96.30	92.98	89.91	3.72
ODE-UNet9	95.14	94.33	96.23	93.15	90.03	7.35