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 |