Pancreatic fat has been reported to be closely related to type 2 diabetes risk, hence is the subject of our investigation in a clinical trial. Artificial pancreatic fat quantification is an experienced operator based and time consuming task. In our recent task, a convolutional neural network were trained based on latest accurate artificial quantification method. Result showed the identification rate were significantly improved through the program.
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