基于深度学习的CT图像自动分割

2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI:10.1109/ISPACS48206.2019.8986367

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

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引用次数: 0

摘要

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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Automatic Spine Vertebra segmentation in CT images using Deep Learning

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.

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2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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