mingming715 / pytorch_3d_segmentation

PyTorch implementation of VoxResNet, Attention U-Net and V-Net

PyTorch_3d_Segmentation

PyTorch implementation of 3D segmentation models

Summary (KOR): https://bo-10000.tistory.com/39?category=1054227

VoxResNet

Applied residual learning. Consists of stacked residual modules(b) and used 4 auxiliary classifiers.

https://arxiv.org/pdf/1608.05895.pdf

Attention U-Net

Used Attention Gate, which suppress irrelevant regions in an input image while highlighting salient features useful for a specific task.

https://arxiv.org/pdf/1804.03999.pdf

V-Net

Similar to U-Net structure. Applied residual connection at each stage and used PReLU for activation function.

https://arxiv.org/pdf/1606.04797.pdf