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你好,BraTS原始数据是4类label,您是做的哪类的分割?还是几类的并集作为一类?
The text was updated successfully, but these errors were encountered:
你好,我们是将所有非背景的类别都合并为一类,你可以参考这段代码
Dual-Normalization/preprocess_func.py
Line 95 in 8cac047
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I reproduced your code, trained on t2, tested on t1 but dice was only 0.2. Can you get back to me
同复现训练集源域t2,其余模态为测试,结果dice0.2
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你好,BraTS原始数据是4类label,您是做的哪类的分割?还是几类的并集作为一类?
The text was updated successfully, but these errors were encountered: