Pneumonia Detection Using X-Ray Images

The primary cause of mortality in youngsters aged below five is pneumonia, a lung condition. In 2016, a UNICEF survey found that infants under the five-year-old limit made up around 16% of fatalities. Most of the afflicted children, who were under two years old, were impacted. The treatment procedure can be sped considerably by finding pneumonia in youngsters. In order for medical professionals to effectively treat pneumonia in the real world, this research proposes CNN models to precisely diagnose pneumonic lungs through chest X-rays. The Chest X-Ray Pictures (Pneumonia) dataset from Kaggle is the subject of a study. So, the main objective of this research is to develop a software system that uses chest x-ray images to recognize the pneumonia condition. The chest x-ray pictures are trained, tested, and verified in one or even more convolutional neural networks layers to do this. The software system's classification of the diseased and non-infected photos is the outcome. Consequently, our study can accurately identify the condition from chest x-ray scans more than 90% of the time.