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. Author manuscript; available in PMC: 2022 May 1.
Published in final edited form as: Med Image Anal. 2021 Feb 7;70:101991. doi: 10.1016/j.media.2021.101991

Table 7.

Comparison of deep learning methods for segmenting coarse-grained brain structures on the SchizBull 2008 testing dataset.

Methods CNNs Parameters Dice Score (mean ± standard deviation)
U-Net (Çiçek et al., 2016) 3D 6.444 × 106 0.857±0.097
SD-Net (Roy et al., 2017) 2D 5.7 × 105 0.856±0.098
U-Net (Ronneberger et al., 2015) 2D 5.178 × 106 0.862±0.096
QuickNAT V2 (Roy et al., 2018) 2D 3.551 × 106 0.862±0.095
ACEnet 2D 4.142 × 106 0.881±0.074