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Update app.py
Browse filesCleaned the text
app.py
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@@ -9,21 +9,21 @@ head = (
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"<center>"
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"<img src='/file=Gradcam.png' width=200>"
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"<h2>"
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"This Space demonstrates a model based on
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"</h2>"
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"<h3>"
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"Use the Example Images
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"</h3>"
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"<h3>"
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"!!!PLEASE NOTE MODEL WAS TRAINED and VALIDATED USING PNG FILES!!!"
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"</h3>"
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"</center>"
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"<p>"
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"The model is trained using [
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"</p>"
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"<p>"
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"The researchers of Qatar University
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"</p>"
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"<ul>"
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"<li>"
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@@ -37,7 +37,7 @@ head = (
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"</li>"
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"</ul>"
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"<p>"
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"Ground-truth lung segmentation masks
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"</p>"
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"</body>"
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)
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"<center>"
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"<img src='/file=Gradcam.png' width=200>"
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"<h2>"
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"This Space demonstrates a model based on efficientnetB7 base model. The Model was trained to classify chest xray image. To test it, "
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"</h2>"
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"<h3>"
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"Use the Example Images provided below the up or Upload your own xray images with the App."
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"</h3>"
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"<h3>"
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"!!!PLEASE NOTE MODEL WAS TRAINED and VALIDATED USING PNG FILES!!!"
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"</h3>"
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"</center>"
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"<p>"
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"The model is trained using [COVID-QU-Ex dataset](https://www.kaggle.com/datasets/anasmohammedtahir/covidqu)"
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"</p>"
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"<p>"
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"The researchers of Qatar University compiled COVID-QU-Ex dataset, which consists of 33,920 chest X-ray (CXR) images including:"
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"</p>"
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"<ul>"
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"<li>"
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"</li>"
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"</ul>"
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"<p>"
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"Ground-truth lung segmentation masks were provided for the entire dataset. This is the largest ever created lung mask dataset, that I am aware of publicly available today(25/10/2023)."
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"</p>"
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"</body>"
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)
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