Automatic Spine Vertebra segmentation in CT images using Deep Learning

P. Wu, Teng-Yi Huang, C. Juan
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Abstract

In this study, we aimed to develop a fully automatic segmentation and classification system for spine vertebra regions. We used datasets provided by xVertSeg and trained a SegNet segmentation model. In our preliminary result, this model was able to identify the spine vertebra regions and levels.
基于深度学习的CT图像自动分割
在这项研究中,我们的目标是开发一个全自动的脊柱椎体区域分割和分类系统。我们使用xVertSeg提供的数据集,训练了一个SegNet分割模型。在我们的初步结果中,该模型能够识别脊柱的椎体区域和水平。
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