A literature review of pneumonia detection algorithms based on deep learning and chest X-ray imaging

Abstract

Pneumonia is a serious disease that poses a threat to people’s health of all ages. It could happen when people are infected by viruses, fungi, bacteria etc. Typically, Chest X-rays are the first and foremost imaging approach to implement pneumonia detection. This paper introduces the latest research achievements to help those who are new in this field to have basic intuition about AI in pneumonia detection., including Vision Transformers on chest X-ray, a novel model based on RetinaNet, CP_DeepNet, and a novel Efficient NetV2L model. The last part gives some suggestions about the future study of pneumonia detection using Deep learning.