Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets
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文摘
PurposeMulti-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propose a fully automatic method for the segmentation of multiple organs from three-dimensional abdominal CT images.
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