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 |
mvm7 / esophagussegmentation Goto Github PK
View Code? Open in Web Editor NEWCNN architectures for multiclass semantic segmentation of esophageal diseases
License: MIT License