Method | Dice coefficient% | Tumour% | Method | Dataset |
|---|
[36] | 96.30 | 65.70 | DL | 1 |
[37] | 95.90 | 50.01 | DL | 1 |
[38] | 95.57 | 59.36 | DL | 1 |
[39] | 94.30 | 72.00 | DL | 1 |
[40] | 86.00 | – | Non-DL | Internal |
Our | 93.40 | – | DL | 1 |
- The accuracy reported is an average of 5 runs. The LiTS dataset, used for the calculations using the reported method, provides independent masks for the hepatic tumours. In our implementation, we combined the tumour masks and the liver masks to determine the total liver masks
- DL, deep learning algorithm; non-DL, other methods
