The image shows the predicted boundary boxes (in red) generated along with their respective segmented images (in random color) after passing each volume slice through the Mask R-CNN trained model (M1).

مواد مشابهة

• The image represents the results of passing the first slice of the Kasthuri++ testing data through trained M1 and M2 models to obtain their respective predicted outputs.
  حسب: Yubraj Gupta (7465394)
  منشور في: (2024)
• The image shows the predicted mask generated for all four datasets after passing each volume through a 3D U-Net trained model (M2).
  حسب: Yubraj Gupta (7465394)
  منشور في: (2024)
• Qualitative comparison of segmentation results across different deep learning models for Lucchi++ slices.
  حسب: Yubraj Gupta (7465394)
  منشور في: (2024)
• The image illustrates the predicted output of Mask R-CNN (green channel) overlapped with the ground-truth image (red channel) for various datasets.
  حسب: Yubraj Gupta (7465394)
  منشور في: (2024)
• The image displays the comparison between the predicted output of the 3D U-Net model (shown in the green channel) and the ground-truth image (shown in the red channel) for various datasets.
  حسب: Yubraj Gupta (7465394)
  منشور في: (2024)