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This project is all about interpreting Chest X-ray images, and the task is to classify whether X-ray image got infected by Pneumonia or not. we also used here GAN and various type of augmentation techniques.

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AbdulManaf12/Pediatric-Chest-Pneumonia-Classification-Leveraging-Traditional-CNN-with-GAN-for-Data-Balancing

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Pediatric Chest Pneumonia Classification: Leveraging Traditional CNN with GAN for Data Balancing

Machine learning and deep learning are the branch of artificial intelligence that has had exponential growth in recent years. By using these we can work with numbers, text, images and so many other things. At this time, we have a lot of contemporary successful examples that have been implemented such as: autonomous Vehicles, chat bots, even now I generating new data from previous. Computer vision is one of the sub fields of deep learning which focuses on processing images. In the field of health care system, we have many systems which can assist doctor while diagnosing different type of diseases. In this project I worked on Pediatric Chest X-ray classification which can classify whether the X-ray image infected by pneumonia or not.

you can also visit on our deployed website: http://abdulmanaf12.pythonanywhere.com/

dataset: https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia

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This project is all about interpreting Chest X-ray images, and the task is to classify whether X-ray image got infected by Pneumonia or not. we also used here GAN and various type of augmentation techniques.

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