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clinical-grade-computational-pathology-using-weakly-supervised-deep-learning-on-whole-slide-images's Issues

openslide.lowlevel.OpenSlideError: OpenJPEG error: Error decoding tile.

您好,我在使用MIL_train文件的时候出现如下错误,想请教下是什么问题?谢谢
File "/home/santiago/program/others/anaconda2/envs/guanjuwei/lib/python3.7/site-packages/openslide/deepzoom.py", line 173, in get_tile
tile = self._osr.read_region(*args)
File "/home/santiago/program/others/anaconda2/envs/guanjuwei/lib/python3.7/site-packages/openslide/init.py", line 237, in read_region
self._osr, location[0], location[1], level, size[0], size[1]
File "/home/santiago/program/others/anaconda2/envs/guanjuwei/lib/python3.7/site-packages/openslide/lowlevel.py", line 311, in read_region
_read_region(slide, buf, x, y, level, w, h)
File "/home/santiago/program/others/anaconda2/envs/guanjuwei/lib/python3.7/site-packages/openslide/lowlevel.py", line 225, in _check_error
raise OpenSlideError(err)
openslide.lowlevel.OpenSlideError: OpenJPEG error: Error decoding tile. Component 1 contains only 131072 blocks while component 0 has 262144 blocks

Error while running MIL_train.py

Hello, I'm working on running the MIL_train script and it's throwing me the below mentioned error:

raise exception ctypes.ArgumentError: Caught ArgumentError in DataLoader worker process 0.
read_region(slide, buf, x, y, level, w, h), ctypes.ArgumentError: argument 3: <class 'TypeError'>: wrong type. I have tried multiple clues available online but none seems to work.
Any suggestions what's going on.

OS - Linux
Openslide-python version 1.1.2

数据集

请问链接里提供的130个svs文件是MSK公开的测试集吗?有没有MIL-RNN模型对应的训练集呢?

question about data download ?

When I uese download_dataset.py to download your public data,Even I use ss ,still can't success.

Error:"HTTP status code=403, Exception=Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature."

On the Tencent Cloud ,I download SVS but can't find "target.csv",please upload csv.

Thanks

code

return running_loss/len(loader.dataset)这里一直报错是为什么呢

ZeroDivisionError: float division by zero

关于多实例学习的一些疑问

你好!我最近在做一个医学方面的多实例学习任务,刚好看到你的博客,有一些问题想问一下。
关于多实例学习数据tag的获取,目前的方法是将正例bag中所有实例不论正反实例都给上正例tag,反例bag中所有实例给上反例tag,这样的话不会有数据不平衡的问题吗?因为真实情况中正例bag中的实例有些tag是给错了的,所以这样真实的正实例的数量应该是远小于反实例的。第二,错误的tag网络能从中学到正确的特征吗,还是说我理解的学习策略有问题呢?麻烦有空帮忙解答一下,非常感谢!

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