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Table 1 Final results of the experiment of selecting the optimal deep neural network architecture and the values of the training process parameters (training phase)

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

No. DNN Acc Loss
T [%] V [%] T V
1 DeepLab-v3-ResNet-18 (15) 85 79 0.14 0.33
2 DeepLab-v3-ResNet-50 (7) 85 80 0.13 0.40
3 DeepLab-v3-Inception-... (10) 86 80 0.19 0.35
. . . . . .
7 DeepLab-v3-Xception (8) 81 80 0.16 0.34
. . . . . .
56 fcnLayers (8) 74 77 0.39 0.36
57 SegNetLayers (4) 72 72 0.64 0.77
. . . . . .
71 SegNetLayers (7) 50 69 1.82 0.79