Unverified Commit 3371424d authored by Linda Wang's avatar Linda Wang Committed by GitHub

Update README.md

parent 4401a5cd
# COVID-Net Open Source Initiative
**Note: The COVID-Net models provided here are intended to be used as reference models that can be built upon and enhanced as new data becomes available. They are currently at a research stage and not yet intended as production-ready models (not meant for direct clinicial diagnosis), and we are working continuously to improve them as new data becomes available. Please do not use COVID-Net for self-diagnosis and seek help from your local health authorities.**
**Note: The COVID-Net models provided here are intended to be used as reference models that can be built upon and enhanced as new data becomes available. They are currently at a research stage and not yet intended as production-ready models (not meant for direct clinical diagnosis), and we are working continuously to improve them as new data becomes available. Please do not use COVID-Net for self-diagnosis and seek help from your local health authorities.**
**Update 04/15/2020: We released two new models, COVIDNet-CXR Small and COVIDNet-CXR Large, which were trained on a new COVIDx Dataset with both PA and AP X-Rays from Cohen et al, as well as additional COVID-19 X-Ray images from Figure1**
**Recording to webinar on [How we built COVID-Net in 7 days with Gensynth](https://darwinai.news/fny)**
......@@ -153,13 +153,13 @@ COVIDNet-Risk uses the same architecture as the existing COVIDNet - but instead
These are the final results for COVIDNet-CXR Small and COVIDNet-CXR Large.
### COVIDNet-CXR Small
<p align="center">
<p>
<img src="assets/cm-covidnetcxr-small.png" alt="photo not available" width="50%" height="50%">
<br>
<em>Confusion matrix for COVIDNet-CXR Small on the COVIDx test dataset.</em>
</p>
<div class="tg-wrap" align="center"><table class="tg">
<div class="tg-wrap"><table class="tg">
<tr>
<th class="tg-7btt" colspan="3">Sensitivity (%)</th>
</tr>
......@@ -175,7 +175,7 @@ These are the final results for COVIDNet-CXR Small and COVIDNet-CXR Large.
</tr>
</table></div>
<div class="tg-wrap" align="center"><table class="tg">
<div class="tg-wrap"><table class="tg">
<tr>
<th class="tg-7btt" colspan="3">Positive Predictive Value (%)</th>
</tr>
......@@ -193,13 +193,13 @@ These are the final results for COVIDNet-CXR Small and COVIDNet-CXR Large.
### COVIDNet-CXR Large
<p align="center">
<p>
<img src="assets/cm-covidnetcxr-large.png" alt="photo not available" width="50%" height="50%">
<br>
<em>Confusion matrix for COVIDNet-CXR Large on the COVIDx test dataset.</em>
</p>
<div class="tg-wrap" align="center"><table class="tg">
<div class="tg-wrap"><table class="tg">
<tr>
<th class="tg-7btt" colspan="3">Sensitivity (%)</th>
</tr>
......@@ -215,7 +215,7 @@ These are the final results for COVIDNet-CXR Small and COVIDNet-CXR Large.
</tr>
</table></div>
<div class="tg-wrap" align="center"><table class="tg">
<div class="tg-wrap"><table class="tg">
<tr>
<th class="tg-7btt" colspan="3">Positive Predictive Value (%)</th>
</tr>
......
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