AI-based diagnosis of chest radiology

In this project, a deep learning system was developed to classify chest X-ray images

using the NIH ChestX-ray14 dataset. The system employs the ResNet50 convolutional

neural network to identify 15 different thoracic diseases, such as Atelectasis,

. Cardiomegaly, and Pneumonia

Additionally, the system features an interactive user interface that allows users to select

their region, upon which the system recommends the most suitable specialized doctors

available in that area based on the diagnosis. This facilitates quick and easy access to

. appropriate medical care