Machine Learning Classification of X-RAY of the Diagnosis of Covid-19

ABSTRACT

Coronavirus, also known as covid-19, was a newly found disease in 2019. It is a highly transmissible virus that has a noxious effect on people all over the world. The most familiar indication of covid-19 are wheezing, cold and raised body temperature. Doctors and medical field experts need to assess at topmost priority a patient with symptoms relating to COVID-19. The most Critical task is to diagnose it with low resource settings. To help in detection of COVID-19, we propose the extraction of features from Chest X-ray images, a technology available at most hospitals and classifying them using machine learning. We compiled 3-class dataset of X-ray chest images including COVID-19, Viral pneumonia, normal cases. We labeled datasets then using Vertex AI and Vision AI trained the model. It automatically uses 80% of the dataset for training, 10% for corroborating and 10% for testing whereas Vision AI process the images for training. © 2022 IEEE.