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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

From: 2.5D MFFAU-Net: a convolutional neural network for kidney segmentation

Fig. 5

The results of case 149 in KiTS19. The ITK-SNAP software is used to visualize the segmentation results. (A)-(C) display the label of the 61st slice in the axial plane, the 328th slice in the sagittal plane, and the 261st slice in the coronal plane. (D) illustrates the ground truth of the 3D view. On the other hand, Figures (E)-(H) exhibit the corresponding predicted values. In these figures, kidney is highlighted in red, while tumor is highlighted in green

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