## 2 Methods
### Evaluation Metrics
** \\ \hline U-Net-90\% & 86.93 \(\pm\) 5.56 & 84.50 \(\pm\) 5.20 & 4.97 \(\pm\) 3.76 & 92.32 & 96.54 \\ U-Net-50\% & 85.82 \(\pm\) 6.32 & 82.25 \(\pm\) 7.66 & 5.16 \(\pm\) 5.77 & 90.19 & 95.66 \\ U-Net-30\% & 77.29 \(\pm\) 9.19 & 75.49 \(\pm\) 7.90 & 6.56 \(\pm\) 5.65 & 87.11 & 89.56 \\ U-Net-20\% & 76.36 \(\pm\) 9.16 & 71.78 \(\pm\) 16.20 & _7.69_ \(\pm\) 5.45 & 83.57 & 88.34 \\ U-Net-10\% & 66.23 \(\pm\) 15.90 & 60.63 \(\pm\) 19.87 & 10.10 \(\pm\) 8.55 & 95.34 & 62.08 \\ U-Net-10\% & 29.47 \(\pm\) 20.29 & 25.39 \(\pm\) 22.50 & 13.95 \(\pm\) 9.12 & 32.25 & 34.54 \\ \hline GAN-90\% & 84.50 \(\pm\) 6.14 & 79.03 \(\pm\) 9.17 & 5.89 \(\pm\) 4.23 & 88.12 & 89.14 \\ GAN-50\% & 81.21 \(\pm\) 7.49 & 74.12 \(\pm\) 11.77 & 5.45 \(\pm\) 5.14 & 85.55 & 88.01 \\ GAN-30\% & 78.67 \(\pm\) 9.61 & 75.88 \(\pm\) 12.75 & 5.19 \(\pm\) 6.15 & 84.33 & 86.10 \\ GAN-20\% & 77.88 \(\pm\) 9.89 & 72.45 \(\pm\) 15.91 & 6.01 \(\pm\) 7.65 & 83.32 & 85.12 \\ GAN-10\% & 75.23 \(\pm\) 11.19 & 70.33 \(\pm\) 17.19 & 7.87 \(\pm\) 8.55 & 76.44 & 81.33 \\ GAN-1.0\% & 66.02 \(\pm\) 20.10 & 62.55 \(\pm\) 20.87 & 12.67 \(\pm\) 9.72 & 71.43 & 76.23 \\ \hline GAN+REC-90\% & 85.34 \(\pm\) 6.42 & 77.44 \(\pm\) 12.13 & 5.34 \(\pm\) 4.37 & 88.44 & 90.33 \\ GAN+REC-50\% & 82.33 \(\pm\) 7.49 & 75.16 \(\pm\) 13.16 & 5.81 \(\pm\) 4.73 & 87.32 & 89.10 \\ GAN+REC-30\% & 79.77 \(\pm\) 9.21 & 74.10 \(\pm\) 14.77 & 5.91 \(\pm\) 5.12 & 86.76 & 88.34 \\ GAN+REC-20\% & 78.43 \(\pm\) 9.11 & 73.32 \(\pm\) 15.11 & 6.12 \(\pm\) 6.14 & 84.12 & 87.43 \\ GAN+REC-10\% & 76.18 \(\pm\) 11.18 & 72.21 \(\pm\) 15.80 & 7.23 \(\pm\) 7.34 & 79.43 & 83.53 \\ GAN+REC-10\% & 67.52 \(\pm\) 18.12 & 64.22 \(\pm\) 19.33 & 12.12 \(\pm\) 9.34 & 72.43 & 78.44 \\ \hline CqI-90\% & 89.33 \(\pm\) 5.11 & 82.03 \(\pm\) 7.33 & 5.20 \(\pm\) 5.11 & 93.98 & 96.01 \\ CqI-50\% & 87.77 \(\pm\) 6.19 & 79.12 \(\pm\) 9.0 & 5.88 \(\pm\) 5.43 & 93.33 & 93.17 \\ CqI-30\% & 85.89 \(\pm\) 7.07 & 77.72 \(\pm\) 11.92 & 6.23 \(\pm\) 6.14 & 91.20 & 92.25 \\ CqI-20\% & 85.55 \(\pm\) 7.22 & 76.95 \(\pm\) 12.9 & 6.85 \(\pm\) 7.04 & 90.01 & 91.09 \\ CqI-10\% & 84.14 \(\pm\) 7.64 & 72.76 \(\pm\) 13.01 & 7.07 \(\pm\) 8.01 & 88.84 & 90.88 \\ CqI-1.0\% & 77.65 \(\pm\) 9.26 & 74.20 \(\pm\) 11.87 & 10.88 \(\pm\) 8.45 & 83.22 & 88.10 \\ \hline CqI-50\% & 88.98 \(\pm\) 6.01 & 81.78 \(\pm\) 7.63 & 6.11 \(\pm\) 6.10 & 94.13 & 95.33 \\ CqI-50\% & 86.55 \(\pm\) 6.22 & 78.31 \(\pm\) 9.46 & 5.74 \(\pm\) 5.34 & 93.41 & 94.11 \\ \hline CqI-50\% & 86.23 \(\pm\) 7.62 & 77.43 \(\pm\) 11.89 & 6.43 \(\pm\) 6.29 & 91.88 & 91.0 \\ CqI-20\% & 85.10 \(\pm\) 6.98 & 76.09 \(\pm\) 12.77 & 6.80 \(\pm\) 6.25 & 88.87 & 91.09 \\ CqI-50\% & 84.56 \(\pm\) 8.01 & 72.11 \(\pm\) 13.54 & 8.13 \(\pm\) 7.03 & 89.73 & 90.16 \\ \hline CqI-51-10\% & 75.54 \(\pm\) 9.89 & 73.01 \(\pm\) 11.56 & 10.05 \(\pm\) 8.43 & 80.89 & 85.44 \\ \hline \hline \({}^{2}\)CqI-50\% & 88.44 \(\pm\) 6.43 & 81.03 \(\pm\) 7.89 & 6.65 \(\pm\) 5.24 & 92.0 & 95.32 \\ \hline \({}^{2}\)CqI-50\% & 86.01 \(\pm\) 6.69 & 79.28 \(\pm\) 10.02 & 5.65 \(\pm\) 5.27 & 93.19 & 92.66 \\ \hline \({}^{2}\)CqI-50\% & 84.93 \(\pm\) 8.01 & 78.52 \(\pm\) 11.61 & 6.88 \(\pm\) 5.86 & 90.42 & 93.53 \\ \hline \({}^{2}\)CqI-52\% & 85.33 \(\pm\) 5.73 & 77.11 \(\pm\) 11.59 & 6.32 \(\pm\) 7.32 & 89.82 & 92.38 \\ \hline \({}^{2}\)CqI-51-10\% & 83.02 \(\pm\) 8.33 & 71.67 \(\pm\) 14.04 & 8.71 \(\pm\) 8.10 & 87.77 & 91.45 \\ \hline \({}^{2}\)CqI-51-10\% & 75.0 \(\pm\) 10.10 & 72.55 \(\pm\) 11.18 & 10.20 \(\pm\) 8.88 & 81.01 & 86.56 \\ \hline \hline \({}^{3}\)CqI-50\% & 87.33 \(\pm\) 7.22 &\[Dice(T_{1},P_{1})=\frac{2|T_{1}\cap P_{1}|}{|T_{1}|+|P_{1}|} \tag{12}\]  
The Dice score will measure the similarity between two sets, \(T_{1}\) and \(P_{1}\), and \(|T_{1}|\) denotes the cardinality of the set \(T_{1}\) with the range of D(\(T_{1}\),\(P_{1}\)) \(\epsilon\) [0, 1]. The Jaccard index or Jaccard similarity coefficient is another metric which aids in the evaluation of the overlap in two sets of data. This index is similar to the Dice coefficient but mathematically different and typically used for different applications.