This project employs advanced deep learning techniques to improve the accuracy and efficiency of detecting lung diseases from chest X-rays, aiming to revolutionize diagnostic processes and enhance patient outcomes. The project involves developing and training deep learning models on large datasets of chest X-rays to enable the automated identification and classification of pneumonia. The scope extends to implementing state-of- the-art algorithms for image analysis, creating a customized model and leveraging advanced neural network architectures.
Dataset link - https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia