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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