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Table 6 Comparison of the accuracy with other results presented in literature

From: Semantic segmentation of human oocyte images using deep neural networks

  

DSC [%]

PPV [%]

TPR [%]

CPM_CC

Proposed method

\(98.49 \pm 0.78\)

\(98.38 \pm 1.68\)

\(98.61 \pm 0.56\)

Ooplasm

Firuzinia et al. [31]

\(98.84 \pm 0.23\)

\(98.72 \pm 0.61\)

\(98.97 \pm 0.40\)

PVS

Proposed method

\(85.01 \pm 4.82\)

\(83.26 \pm 6.41\)

\(87.06 \pm 4.70\)

Firuzinia et al. [31]

\(89.99 \pm 2.86\)

\(89.81 \pm 2.12\)

\(90.17 \pm 2.10\)

ZP

Proposed method

\(92.35 \pm 2.31\)

\(91.27 \pm 5.00\)

\(93.70 \pm 2.77\)

Firuzinia et al. [31]

\(93.45 \pm 0.78\)

\(92.82\pm 0.52\)

\(94.08 \pm 0.68\)

Kheradmand et al. [30]

-

80.3

80.8