BriefGPT.xyz
Mar, 2014
利用全局形状规则进行3-D OCT图像中的概率神经节层分割
Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization
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Fabian Rathke, Stefan Schmidt, Christoph Schnörr
TL;DR
利用光学相干断层扫描技术的新概率方法进行眼底层面的快速准确分割,获得了2.46微米的平均无符号误差,并可用于评估分割质量、发现错误区域和鉴别正常和病理性扫描。
Abstract
With the introduction of spectral-domain
optical coherence tomography
(OCT), resulting in a significant increase in acquisition speed, the fast and accurate
segmentation
of 3-D OCT scans has become evermore impor
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