From: Human oocytes image classification method based on deep neural networks
ID | Input layer | Accuracy |
---|---|---|
1 | Oocyte image | 0.41 |
2 | Clear cytoplasm | 0.49 |
3 | Diffuse cytoplasmic granularity | 0.40 |
4 | Cytoplasmic granular area | 0.47 |
5 | Smooth endoplasmic reticulum cluster | 0.33 |
6 | Vacuoles | 0.36 |
7 | Dark cytoplasm | 0.35 |
8 | First polar body | 0.58 |
9 | Multi-polar body | 0.33 |
10 | Fragmented first polar body | 0.39 |
11 | Second polar body | 0.33 |
12 | Perivitelline space | 0.50 |
13 | Zona pellucida | 0.54 |
14 | Germinal vesicle | 0.66 |
15 | Cumulus /corona cells | 0.33 |