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Abstract #1865

Evaluation of Modified Convolutional Neural Network for Automatic Measurement of Pancreas Volume and Pancreatic Fat Deposition

Zhiyong John Yang1, Dech Dokpuang 2, Rinki Murphy 3, Reza Nemati 4, Xavier Yin 5, Kevin Haokun He 5, and Jun Lu1
1School of Biomedical Science, Auckland University of Technology, Auckland, New Zealand, 2Auckland University of Technology, Auckland, New Zealand, 3University of Auckland, Auckland, New Zealand, 4. Canterbury Health Laboratories, Christchurch, New Zealand, 5Saint Kentigern College, Auckland, New Zealand

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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