Medical Image Segmentation On Drive 1
Metrics
F1 score
Precision
Recall
Specificity
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1 score | Precision | Recall | Specificity | mIoU |
|---|---|---|---|---|---|
| fanet-a-feedback-attention-network-for | 0.8183 | 0.8189 | 0.8215 | 0.9826 | 0.6927 |
| g-cascade-efficient-cascaded-graph | 0.8290 | - | 0.8281 | 0.9844 | 0.7081 |
| hi-gmisnet-generalized-medical-image | - | - | - | - | 0.6901 |
| bi-directional-convlstm-u-net-with-densley | 0.8222 | - | - | - | - |
| g-cascade-efficient-cascaded-graph | 0.8210 | - | 0.83 | 0.9822 | 0.697 |