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pre-train-model

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AmitSingh2903 / CovidXNet

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In this project, we aimed to develop a deep learning model for accurately classifying X-ray images as either pneumonia or COVID cases. The objective was to compare accuracy of different types of CNN, where we used two: DenseNet and MobileNetV2 and acheived an accuracy of something close to 54.5% and later using feature scaling it came close to 85%.

deep-learning neural-network cnn-classification image-net confusion-matrix-heatmap pre-train-model
  • Updated Jul 17, 2023
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