Method and system for diagnosis of COVID-19 using artificial intelligence

A method for detecting COVID-19 from a lung image of a patient, comprising:

• receiving, at a communication interface, the lung image acquired of a lung of the patient by an image acquisition device, wherein the lung image is a 3D CT image;
• determining, by at least one processor, a 3D region of interest comprising the lung from the 3D CT lung image;
• applying, by the at least one processor, a COVID-19 detection network to the 3D region of interest to determine a condition of the lung, wherein the COVID-19 detection network is a multi-class classification learning network that labels the region of interest as one of COVID-19, non-COVID-19 pneumonia, non-pneumonia abnormal, or normal, wherein the COVID-19 detection network is a 3D deep learning network;
• and
• providing, by the at least one processor, a diagnostic output based on the determined condition of the lung,
• wherein applying the 3D deep learning network to the 3D region of interest further comprises:
• obtaining feature maps corresponding to the 3D region of interest and obtaining the diagnostic output from the feature maps by applying a combination network comprising a convolutional neural network (CNN) and another neural network.

A non-transitory computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by at least one processor, performs a method for detecting COVID-19 from a lung image of a patient, the method comprising:

• receiving the lung image acquired of a lung of the patient by an image acquisition device wherein the lung image is a 3D CT image;
• determining a 3D region of interest comprising the lung from the 3D CT image;
• applying a COVID-19 detection network to the 3D region of interest to determine a condition of the lung, wherein the COVID-19 detection network is a multi-class classification learning network that labels the region of interest as one of COVID-19, non-COVID-19 pneumonia, non-pneumonia abnormal, or normal, wherein the COVID-19 detection network is a 3D deep learning network;
• and
• providing a diagnostic output based on the determined condition of the lung,
• wherein applying the 3D deep learning network to the 3D region of interest further comprises:
• obtaining feature maps corresponding to the 3D region of interest and obtaining the diagnostic output from the feature maps by applying a combination network comprising a convolutional neural network (CNN) and another neural network.