Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors

摘要

We aimed to compare the accuracy and repeatability of emerging machine learning-based (i.e., deep learning) automatic segmentation algorithms with those of well-established interactive semi-automatic methods for determining liver volume in living liver transplant donors at computed tomography (CT) imaging.