Comments (2)
It's mainly just for people (including myself) to "feel" like they are helping and be able to take solace in it (and educate themselves via it)
I am not trying to educate people. I am trying to build a dataset to build tools that are useful.
I find the main issue with your work is the evaluation. You simply cannot claim the model has such high performance. You are only using train and valid sets and no external test set. You should also perform some sort of cross-validation to assess how well the model generalizes.
from covid-chestxray-dataset.
Fair criticism and honest criticism, I appreciate it. As I stated in the work it was never intended to be a true scientific piece with a proper evaluation. My intention was simply to share it with you, that's all.
I wish you all the best with the project, good luck with it.
from covid-chestxray-dataset.
Related Issues (20)
- Covid dataset label help HOT 4
- Diagnostic literature HOT 1
- What does "PA" and "AP" view mean ? HOT 1
- Is there any problem in choosing all views available of X-rays ?
- Using different dataset for negative class HOT 1
- Image source metadata HOT 1
- No finiding meaning!? HOT 1
- Pubblication to add HOT 1
- requesting for guidance to setup this project and checkout demo on local machine HOT 1
- Data preprocessing HOT 1
- any update on images ? HOT 1
- how to I can run this code HOT 3
- Having trouble in downloading the volumes folder HOT 1
- Other sources of COVID-19 X-Ray images with survival label
- Can I use this dataset for research purposes? HOT 1
- can i get the data sheet
- Variants of Covid-19 HOT 1
- What is the exact number of the dataset?
- "good", "bad" patient states in the UMAP (Figure 3 in the paper) HOT 3
- I would like to inquire about the labeling issues in the meta-dataset HOT 3
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from covid-chestxray-dataset.