Pulmonary inflammation region detection algorithms based on deep learning: a review

Abstract

With the popularity and development of object detection in deep learning, it is used in more and more industries, including the field of medical science. This paper summarizes the target detection algorithms for the pneumonia region. Firstly, this paper briefly introduced the existing detection methods of target detection and summarized the main pneumonia datasets and image preprocessing methods. Then we focused on the framework composition and detection effect of the main model. Finally, through experimental analysis, we proposed to apply some new models to the detection of pneumonia and used some improvements and techniques to improve the detection effect.