A Review of Automated Diagnosis of COVID-19 Based on Scanning Images

In the last week, I have been optimizing the Covid-Net I developed with my thesis and other research materials to diagnose the deep learning model of Covid19, and the accuracy I got from training on 20,000+ xRay datasets is less than 90%. When the model became more and more complex, the video memory was obviously not enough, so I sold the DJI Inspire 2 and used the money I earned to buy a TITAN RTX 24G, and then continued to optimize the model and increase training. of the batch_size.

The goal of the latter is to build a system that can accurately determine pneumonia and automatically label the pneumonia feature area and the Split out the deep model and run it on a local Coral TPU device to develop a prototype > device for pneumonia detection. During the research process a good collection site on Covid19-AI was found [COVID-19 Imaging-based AI Research Collection](https://github.com/HzFu/COVID19_imaging_AI_paper_ list), the author is a researcher in the field of artificial intelligence and has published many papers. , author’s personal website.