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Update explain.md
Browse files- explain.md +1 -2
explain.md
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@@ -167,7 +167,7 @@ def resultbt():
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1. Accept user inputs and uploaded image.
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2. Validate the file format.
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3. Preprocess the image (crop and resize).
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4. Use the CNN model to predict if there is a tumor
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5. Save the prediction and user details to MongoDB.
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6. Return the result.
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@@ -211,4 +211,3 @@ if __name__ == '__main__':
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4. **Model Prediction** is done via a pre-trained Keras model.
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5. Templates (`braintumor.html`, `resultbt.html`) are used to display data.
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Let me know if you need help with any specific part! 🚀
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1. Accept user inputs and uploaded image.
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2. Validate the file format.
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3. Preprocess the image (crop and resize).
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4. Use the CNN model to predict if there is a tumor.🚀
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5. Save the prediction and user details to MongoDB.
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6. Return the result.
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4. **Model Prediction** is done via a pre-trained Keras model.
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5. Templates (`braintumor.html`, `resultbt.html`) are used to display data.
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