Skip to main content
. Author manuscript; available in PMC: 2021 May 4.
Published in final edited form as: Med Image Anal. 2019 Feb 5;53:197–207. doi: 10.1016/j.media.2019.01.012

Table 6. Class-wise performance for AG-Sononet-8. In bracket shows the improvement over Sononet-8. Bold highlights the improvement more than 0.02.

Precision Recall F1
Brain (Cb.) 0.988 (-0.002) 0.982 (-0.002) 0.985 (-0.002)
Brain (Tv.) 0.980 (0.003) 0.990 (0.002) 0.985 (0.003)
Profile 0.953 (0.055) 0.962 (0.009) 0.958 (0.033)
Lips 0.976 (0.029) 0.956 (-0.003) 0.966 (0.013)
Abdominal 0.963 (0.011) 0.961 (0.007) 0.962 (0.009)
Kidneys 0.863 (0.054) 0.902 (0.003) 0.882 (0.030)
Femur 0.975 (0.019) 0.976 (-0.005) 0.975 (0.007)
Spine (Cor.) 0.935 (0.049) 0.979 (0.000) 0.957 (0.026)
Spine (Sag.) 0.936 (0.055) 0.979 (-0.012) 0.957 (0.024)
4CH 0.943 (0.035) 0.970 (0.007) 0.956 (0.022)
3VV 0.694 (0.050) 0.722 (-0.014) 0.708 (0.021)
RVOT 0.691 (0.029) 0.705 (0.044) 0.698 (0.036)
LVOT 0.925 (0.022) 0.933 (0.027) 0.929 (0.024)
Background 0.995 (-0.001) 0.992 (0.007) 0.993 (0.003)