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你好,非常感谢您的代码分享。我在使用天池医疗数据做试验时,按照先运行1.train_dataset_preprocessing_2DUnet.py; 2.val_dataset_preprocessing_2DUnet.py; 3.deep_learning_2DUnet.py; 的步骤来执行训练过程,但是训练结果的Dice coefficient才达到0.0013.且增加训练迭代,一直保持在这个数值。当用训练好模型进行预测时,发现生成的预测图一片黑,用plt.show显示也只有像素为0;麻烦问下是什么原因会造成这种结果哪?(原始程序没有进行任何更改运行)
The text was updated successfully, but these errors were encountered:
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你好,非常感谢您的代码分享。我在使用天池医疗数据做试验时,按照先运行1.train_dataset_preprocessing_2DUnet.py;
2.val_dataset_preprocessing_2DUnet.py;
3.deep_learning_2DUnet.py;
的步骤来执行训练过程,但是训练结果的Dice coefficient才达到0.0013.且增加训练迭代,一直保持在这个数值。当用训练好模型进行预测时,发现生成的预测图一片黑,用plt.show显示也只有像素为0;麻烦问下是什么原因会造成这种结果哪?(原始程序没有进行任何更改运行)
The text was updated successfully, but these errors were encountered: