A python application that uses a Convolutional Neural Network built in Tensorflow and Keras to classify chest x-rays into NORMAL or PNEUMONIC. The model has been trained on the dataset obtained from Kaggle and produces a decent accuracy of 91% and a recall score of 94% on the test set. Libraries used - numpy, pandas, matplotlib, seaborn, tensorflow, sklearn and cv2.
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A python GUI application that uses a Convolutional Neural Network built in Tensorflow and Keras to classify chest x-rays into NORMAL or PNEUMONIC. The model has been trained on the dataset obtained from Kaggle and produces a good recall score of 94% on the test set.
yash-sarwaswa/Pneumonia-Detection-CNN
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A python GUI application that uses a Convolutional Neural Network built in Tensorflow and Keras to classify chest x-rays into NORMAL or PNEUMONIC. The model has been trained on the dataset obtained from Kaggle and produces a good recall score of 94% on the test set.
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