A New Respiratory Diseases Detection Model in Chest X-Ray Images Using CNN

Convolutional Neural Network (CNN)-based deep learning techniques have recently demonstrated increased potential and effectiveness in image recognition applications, such as those involving medical images. Deep-learning models can recognize targets with performance comparable to radiologists when used CXR. The primary goal of this research is examine a technique on the radiography dataset detect COVID-19 X-ray proposed system consists several stages, from pre-processing, passing through feature reduction using more than one technique, classification stage based model. test was applied Radiography normal three lung infections (COVID-19, Viral Pneumonia, Lung Opacity). CNN model has shown its ability classify COVID, normal, other perfect accuracy 99.94%. Consequently, AI-based early-stage detection algorithms will be enhanced, increasing X-ray-based modality for screening various diseases.