lee-zq/3DUNet-Pytorch: 3DUNet implemented with pytorch - GitHub
May 26, 2021 · 3) Testing 3DUNet. run test.py Please pay attention to path of trained model in test.py. (Since the calculation of the 3D convolution operation is too large, I use a sliding window to block the input tensor before prediction, and then stitch the results to get the final result.
DA: 96 PA: 66 MOZ Rank: 17