Research Article
YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image
Table 6
The comparison of average CCR for each methodology.
| Methodology | Original image | Gaussian noise | Speckle noise |
| YOLOv3-UNet | 0.978519 | 0.973193 | 0.973546 | YOLOv4-UNet | 0.958206 | ā | 0.936050 | UNet model 1 | 0.970946 | 0.959026 | 0.969738 | UNet model 2 | 0.969377 | 0.959026 | 0.969678 | UNet model 3 | 0.975070 | 0.965331 | 0.976370 | UNet model 4 | 0.973683 | 0.959354 | 0.974498 | Mask R-CNN | 0.964181 | 0.964679 | 0.964409 |
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the maximum value of CCR between all methods. |