Lesion Segmentation On University Of Waterloo
Metrics
Dice score
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Dice score |
|---|---|
| skin-lesion-segmentation-using-atrous | 0.883 ±0.108 |
| u-net-convolutional-networks-for-biomedical | 0.836 ±0.132 |
| dtp-net-a-convolutional-neural-network-model | 0.884 ±0.100 |
| fully-connected-deep-structured-networks | 0.870 ±0.063 |
| segnet-a-deep-convolutional-encoder-decoder | 0.854 ±0.088 |