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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