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Evaluation of the introduced work with DL‐based approaches
| Technique | Parameters | Dice (%) | Sensitivity (%) | Specificity (%) | Training time (per day) |
|---|---|---|---|---|---|
| ENET | 363,069 | 72.28 | 77.10 | 70.84 | 3.47 |
| C‐ENET | 793,917 | 74.83 | 76.50 | 76.26 | 4.22 |
| ERFNET | 2,056,440 | 54.23 | 72.97 | 48.65 | 2.87 |
| Proposed | 361,624 | 84.67 | 87.24 | 88.62 | 0.42 |
Abbreviations: C‐ENET, custom ENET; ENET, Efficient Neural Network; ERFNET, Efficient Residual Factorized ConvNet.
