The following study presents a model for generating chest X-ray images of normal subjects (without lung disease) and pneumonia patients.
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Updated
Jul 6, 2023 - Jupyter Notebook
The following study presents a model for generating chest X-ray images of normal subjects (without lung disease) and pneumonia patients.
This repository contains the implementation of a Convolutional Neural Network (CNN) with attention mechanisms for the detection of Pneumonia from chest X-ray images.
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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