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app.py
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@@ -13,7 +13,7 @@ def predict(img):
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return prediction
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title = "Breast cancer detection with Deep Transfer Learning(ResNet18)"
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description = "<p style='text-align: center'><b>As a radiologist or oncologist, it is crucial to know what is wrong with a breast x-ray image.<b><br><b>Upload the breast X-ray image to know what is wrong with a patients breast with or without inplant<b><p>"
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article="<p style='text-align: center'>Web app is built and managed by Addai Fosberg<b></p>"
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examples = ['img1.jpeg', 'img2.jpeg']
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return prediction
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title = "Breast cancer detection with Deep Transfer Learning(ResNet18)."
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description = "<p style='text-align: center'><b>As a radiologist or oncologist, it is crucial to know what is wrong with a breast x-ray image.<b><br><b>Upload the breast X-ray image to know what is wrong with a patients breast with or without inplant<b><p>"
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article="<p style='text-align: center'>Web app is built and managed by Addai Fosberg<b></p>"
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examples = ['img1.jpeg', 'img2.jpeg']
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