Figure 2 | Scientific Reports

Figure 2

From: Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography

Figure 2

Schematics of the 2.5D U-Net and our proposed 3.5D U-Nets using majority voting. The 2.5D U-Net combines the predictions of deep learning models trained by 2Da U-Net, 2Dc U-Net and 2Ds U-Net. The 3.5Dv3 U-Net combines the predictions of deep learning models trained by 2.5Dv U-Net, 2.5D U-Net and 3D U-Net. The 3.5Dv4 U-Net combines the predictions of deep learning models trained by 2Da U-Net, 2Dc U-Net, 2Ds U-Net and 3D U-Net. The 3.5Dv5 U-Net combines the predictions of deep learning models trained by 2Da U-Net, 2Dc U-Net, 2Ds U-Net, 2.5D U-Net and 3D U-Net.

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