Comments (5)
您好,您可以打印出来一些中间结果么,如果方便的话,可以将CT dicom文件单独发给我么,我帮您看一下。我的邮箱是: [email protected]
from covid-19-detection.
from covid-19-detection.
@jiejiangd 我这边在做实验的时候,默认都是一个机型来对待的(实际不是),实际用肉眼看差距感觉也不是很大。有一些机型可能确实会导致空气部分HU值过高或过低的问题,不过在我的处理的大概几百个CT样本中是非常少见的。
此外,如果将肺部单独crop出来,我认为crop之后的图像在某一类的平均值上应该不会和其他类有显著的差异。我不太清楚您说的竞争问题具体指什么,或许您可以从这个repo中获取一些灵感,他这边就是做的3分类:https://github.com/bkong999/COVNet。
from covid-19-detection.
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@jiejiangd 关于您在预处理方面的问题,我这边可能无法给您更多的建议,可以参考一些论文或者其他相关文献。
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Related Issues (11)
- Missing Train.py HOT 1
- Image has wrong mode in dataste_ops.py using deCoVnet HOT 2
- Datasets HOT 2
- 关于dicom to img HOT 1
- 关于decovnet输入图片尺寸 HOT 4
- no files NCOV-BF/size368x368-dlmask/ImageSets/ncov_train.txt HOT 1
- ./lesion_loc/cam-mask.py 报错
- First steps
- 关于论文中说的通过无监督方法得到ground-truth masks的疑问
- 3D图像的输入格式是什么?
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