( 63 个子文件 36.8MB ) CA-Net:用于可解释医学图像分割的综合注意力卷积神经网络代码
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TAUnet.cpython-36.pyc 5.88KB
networks_other.cpython-37.pyc 13.84KB
networks_other.cpython-36.pyc 13.89KB
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nonlocal_layer.cpython-37.pyc 7.75KB
grid_attention_layer.cpython-37.pyc 10.35KB
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scale_attention_layer.py 7.51KB
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isic_preprocess.py 1.64KB
ISIC_0010854.npy 256.63KB
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fetal_mri_results.png 3.09MB
scale_atten_weight.png 164.44KB
spatial_atten_weight.png 170.62KB
canet_framework.png 48.26KB
skin_segmentation_results_table.png 76.54KB
min_loss_ISIC2018_checkpoint.pth.tar 32.01MB
show_fused_heatmap.py 1.98KB
evaluation.cpython-36.pyc 912B
transform.cpython-36.pyc 7.51KB
binary.cpython-37.pyc 40.16KB
evaluation.cpython-37.pyc 878B
dice_loss.cpython-37.pyc 3.43KB
transform.cpython-37.pyc 6.29KB
binary.cpython-36.pyc 40.15KB
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