Model | accuracy |
---|---|
FCN | 0.889 |
SegNet | 0.906 |
U-Net | 0.901 |
VGG16 U-Net | 0.962 |
ResNet101 U-Net | 0.977 |
VGG16 UNet 3+ | 0.977 |
ResNet101 UNet 3+ | 0.978 |
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CNN architectures for multiclass semantic segmentation of esophageal diseases
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CNN architectures for multiclass semantic segmentation of esophageal diseases
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