An Efficient Automated Chest X-Ray Based Patient Disease Detector is an artificial intelligence-based desktop and mobile application that can have the capability of detecting Lung disease from Chest X-ray (CXR) images. The system will classify 6 types of lung diseases.
There is a shortage of experienced experts who can interpret x-ray images, even when imaging equipment is available. This can cause increased mortality from treatable diseases.
The proposed system has been designed and developed based on a single convolutional neural network which is able to perform the task of the radiologist which aimed to solve the problems discussed. Also, the solution will detects Thorex diseases from x-ray images by training the image data using the convolutional neural network which is a specialized part of deep learning.