covid-chest-xray-classifier-classical

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Problem statement -

Detecting Covid19 or Viral Pneumonia using Chest x-ray

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Dataset used -

I have used this datset from Kaggle which contains 250 training and 65 testing images for our model.

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Plotting accuracy, cost, adaptive learning rate -

Accuracy

Training and Validation Loss

Adaptive Learning Rate

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Predicting on individual images -

This model has 87.5% validation accuracy as tested on the given test images. Although there is still some room for improvement using larger dataset for both training and testing.

Correct Predictions

Label: Covid , Predicted: Covid

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Label: Covid , Predicted: Covid

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Label: Normal , Predicted: Normal

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Label: Normal , Predicted: Normal

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Label: Viral Pneumonia , Predicted: Viral Pneumonia

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Label: Viral Pneumonia , Predicted: Viral Pneumonia

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Wrong Predictions

Label: Covid , Predicted: Normal

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Disclaimer -

87.5% accuracy is something really huge to claim and we can't do that exactly here. One of the reasons is that the dataset is not enough large to be trained on for a industry level deep neural network architecture.

So there is a scope of future improvement by training on more data