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# I performed the following experiment
- Downloaded datasets [1], [2] and [3]
- Extracted PA views for control and pneumonia patients (for [2] all "pneumonia" images were used regardless of the ty…
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Can you please help as i am unable to understand how to run the code. I would be grateful to you if you could help in this regard. I want to present this paper to my fellow student for the work that y…
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你好。数据集该怎么用
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We should try to find more images of COVID-19 and normal cases. Both CTs and Xray.
TO-DO:
- Create and curate a dataset including images of COVID-19, and Normal cases.
- Create folders for test…
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Hi @ieee8023
thank you for maintaining this dataset!
I implemented a [pytorch lightning wrapper for a DenseNet model](https://github.com/oplatek/lightning-Covid19/tree/feature/baseline-model) f…
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These are the published projects that still have possibly broken lists of references (see issue #2137):
Broken version
Older version
bionlp-workshop-2023-task-1a/2.0.0
bionlp-workshop-2023-task-…
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Hello,
So I know that the "all model" is trained on multiple datasets, but is it trained on the entirety of those datasets (all training examples) or just a subset?
Also, I wanted to ask where I c…
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I downloaded the 224x224 images of the PadChest dataset and I tried to load the dataset in a Jupyter Notebook as described in the example code:
```
import torchxrayvision as xrv
d_pc = xrv.datase…
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Hi.
I am trying to merge multiple datasets (NIH & Padchest) and then trying to train a model on both of them. While I am able to merge, I see that the label ordering was preserved as in the original …
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Hi everyone,
After having load the PadChest dataset my console prints its summary statistics for all executed commands
Looks like this:
{'Air Trapping': {0.0: 59407, 1.0: 2285},
'Aortic Ath…