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The implementation of "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT"
请问hu_window的大小选择有没有参照相关的理论依据?
谢谢
您好!论文中写到groung-truth的masks是通过无监督学习方法得到的,但文章中并没有写到如何实现无监督方法获取masks。代码中也没有找到,请问这一步是在哪里实现的呢?谢谢!
245 行报错 model = import_module(f"model.{CLS_MODEL_UID}")
ModuleNotFoundError: No module named 'model' 。lesion_loc目录下缺少model文件夹
请问你们的3D图像的是什么形式的呢,有没有转化为nii形式呢?
Hello first, thank you for making your code available, can you help me?
I have a CT dataset and I don't know where I should put the images inside your project to run the code, can you explain what steps I should follow?
Thanks!
Where can I find the images? NpyData directories contain only empty files
when I run train.py, there is a error No such file or directory: 'NCOV-BF/size368x368-dlmask/ImageSets/ncov_train.txt'
Hi,
Thanks for sharing the code. But the train.py for deCoVnet is missing.
我使用cropresize文件将图片resize为224*336尺寸,但是在decovnet训练时发生错误:RuntimeError: Given input size: (64x1x56x84). Calculated output size: (64x0x56x84). Output size is too small,问题出现在baseline_i3d.py的248行,请问这可能是什么原因导致的
Hi, while train.py from deCoVnet I'm getting an error from dataset_ops.py at line 108
# Color Transforms def colorop(img, bright, contrast): _img = TF.adjust_brightness(img, bright) _img = TF.adjust_contrast(_img, contrast) return _img
the error is saying
ValueError: image has wrong mode
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