PREDICTION METHOD FOR PROBABILITY OF LUNG CANCER BASED ON ARTIFICIAL INTELLIGENCE MODEL ANALYZING MEDICAL IMAGE AND ANALYZING APPARATUS FOR MEDICAL IMAGE

摘要

The method for predicting the likelihood of lung cancer using an artificial intelligence model includes the steps of: an image analysis device receiving a chest FDG (fluorodeoxyglucose) PET/CT image for a sample; predicting the likelihood of developing lung cancer for The neural network is trained using a training image excluding the lung cancer region from the chest FDG PET/CT image of a lung cancer patient.