Update README.md

README.md

@@ -39,12 +39,12 @@ This repository should contain 6 pre-trained deep learning models (6 architectur
 
 | Architecture | mean DSC | mean IoU | mean HD95 | mean Precision | mean Recall |
 |--------------|----------|----------|-----------|----------------|-------------|
-| **Baseline U-Net (WCE)** | 0.714 ±0.018 | 0.601 ±0.020 | 6.50 ±0.46 | 0.616 ±0.020 | 0.937 ±0.002 |
+| **Baseline U-Net (WCE)** | 0.714 ±0.018 | 0.601 ±0.020 | 6.50 ±0.46 | 0.616 ±0.020 | **0.937 ±0.002** |
 | **Baseline Pix2Pix (WCE)** | 0.823 ±0.011 | 0.721 ±0.014 | 5.31 ±0.20 | 0.805 ±0.005 | 0.848 ±0.010 |
 | **Baseline Pix2Pix (UFL)** | 0.817 ±0.010 | 0.714 ±0.012 | 5.50 ±0.35 | 0.791 ±0.021 | 0.850 ±0.019 |
 | **Pix2Pix + Attention Discriminator** | 0.824 ±0.008 | 0.723 ±0.011 | 5.23 ±0.31 | 0.807 ±0.014 | 0.843 ±0.009 |
-| **Pix2Pix + Adaptive Hybrid Loss** | 0.844 ±0.002 | 0.750 ±0.003 | 4.81 ±0.05 | 0.845 ±0.009 | 0.843 ±0.010 |
-| **Pix2Pix + Attention Discriminator + Adaptive Hybrid Loss** ⭐| 0.852 ±0.004 | 0.760 ±0.006 | 4.87 ±0.13 | 0.856 ±0.006 | 0.850 ±0.006 |
+| **Pix2Pix + Adaptive Hybrid Loss** | 0.844 ±0.002 | 0.750 ±0.003 | **4.81 ±0.05** | 0.845 ±0.009 | 0.843 ±0.010 |
+| **Pix2Pix + Attention Discriminator + Adaptive Hybrid Loss** ⭐| **0.852 ±0.004** | **0.760 ±0.006** | 4.87 ±0.13 | **0.856 ±0.006** | 0.850 ±0.006 |
 
 ⭐ **Recommended**: Pix2Pix + Attention Discriminator + Adaptive Hybrid Loss (V5) for best performance