Comments (4)
ieee8023
commented on May 18, 2024
It is just missing data. The sources may have been updated since the inages were added. If you find the outcome of patients let me know and I will update the file.
Missing data is just a research challenge on how to deal with it. Look into few shot learning, semi-supervised learning, and meta-learning. They all address this problem in some way.
from covid-chestxray-dataset.
JiayuanDing100
commented on May 18, 2024
In metadata, the survival label means whether he/she survives. Do we have label whether the patient is confirmed with covid19 or not?
from covid-chestxray-dataset.
bganglia
commented on May 18, 2024
@JiayuanDing100 The patient has COVID-19 if the string "COVID-19" is in the "finding" column.
from covid-chestxray-dataset.
ines321
commented on May 18, 2024
In metadata, the view label of X-ray images was "AP", "PA",.. can we take all views for training ?
from covid-chestxray-dataset.
Related Issues (20)
- Masks of problematic areas (ground glass opacity, ect) in chest radiography HOT 7
- 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
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from covid-chestxray-dataset.