liver tumor segmentation(3d UNet) for LITS2017
Usuage refer to LITS2017-main1
Part of the thought
To be continue...
1.Liver Tumor Segmentation Using Triplanar Convolutional Neural Network: A Pilot Study
2.U-Net: Convolutional Networks for Biomedical Image Segmentation
Hello, can this code be able to segment liver and tumor at the same time?
train_img_paths, val_img_paths, train_mask_paths, val_mask_paths = train_test_split(img_paths, mask_paths, test_size=0.3, random_state=39)
这样取训练集与验证集不会导致有交叉吗，来自同一个ct的不同切块同时被分到训练集与验证集中。
38 | zz1 | 10 | 05/08/21 | 0.6610 (69) | 0.8060 (38) | 0.350 (30) | -0.033 (121) | 0.995 (37) | 6.270 (64) | 1.505 (38) | 0.393 (56) | 0.360 (86)
Hello，I found that you did not provide the test code for the 3D version. Does your 2D version match the 3D version?
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