COVID-19 Sniper: An advanced diagnostic tool for pneumonia
What problem are you going to solve?
COVID-19 is five times more deadly than influenza and causes significant morbidity and mortality. Like other pneumonia, COVID-19 lung infection can cause inflammation and fluid accumulation in the lungs. It is feasible to diagnose COVID-19 by detecting genetic material from viruses or chest radiographs by polymerase chain reaction. However, it may take several hours or even days to obtain molecular test results. In contrast, we can use the Xilinx Kria KV260 AI Vision Kit computing board to identify and locate COVID-19 abnormalities on chest radiographs within minutes, and classify the X-rays as pneumonia-negative or COVID-19 typical, uncertain or atypical.
What are you going to build to solve this problem? How is it different from existing solutions? Why is it useful?
We will use the yolov3 object detection model for lung shadow detection on X-rays to determine the shadow location, and use the inceptionv1 model to determine the probability of suffering from COVID19 through the patient’s x-rays to provide a reference for doctors’ diagnosis. At the same time, we will write a web service and connect to the database to upload and manage related diagnostic information.
How does your solution work? What are the main features? Please specify how you will use the Xilinx Kria KV260, VCK5000 or Big Data Analytics Card in your solution.
We have successfully trained the X-rays detection model on yolov3 and inceptionv1. Next, we will use the Vitis-AI tool to quantify the model so that it can run normally on the KV260 AI Vision Kit, so that it has a smaller running delay . Doctors can upload x-rays through the web service provided by KV260 AI Vision Kit to obtain diagnostic reference, or directly input images through usb camera to obtain diagnostic reference also.
List the hardware and software you will use to build this.
Hardware:
- Xilinx Kria KV260 AI Vision Kit
- Logitech C920 HD Pro Webcam
Software:
- Vitis / Vitis AI
- Deep Learning Libraries & Models
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