Unsupervised Segmentation of Choroidal Neovascularization for Optical Coherence Tomography Angiography by Grid Tissue-Like Membrane Systems
Unsupervised Segmentation of Choroidal Neovascularization for Optical Coherence Tomography Angiography by Grid Tissue-Like Membrane Systems
复制标题
通过网格组织样膜系统进行光学相干断层扫描血管造影的脉络膜新生血管的无监督分割
DOI：
10.1109/access.2019.2943186
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发表时间：
2019
期刊：
影响因子：
3.9
通讯作者：
Li Dengwang
中科院分区：
文献类型：
--
作者：
Xue Jie;Yan Shuo;Wang Yuan;Liu Tingting;Qi Feng;Zhang Hongyan;Qiu Chenggong;Qu Jianhua;Liu Xiyu;Li Dengwang
脉络膜新生血管(CNV)模式的准确分割对于准确量化年龄相关性黄斑变性的病变大小至关重要。本文提出了一种基于网格类组织膜系统的光学相干层析成像中CNV的无监督并行分割方法。GTM系统将改进的CLIQUE(CLIQUE)算法整合到组织样膜系统中。GTM系统利用CLIKE的无监督聚类能力，无需训练阶段即可检测出不同形状、位置和密度的CNV。平均骰子比为0.84±0.04，优于基线和最先进的方法。此外，作为一种并行计算范例，GTM系统可以同时处理所有分析中的扫描，因此它们耗时较少，在0.56秒内完成了48次扫描的CNV检测。
Accurate segmentation of choroidal neovascularization (CNV) patterns is vital for precise lesion size quantification in age-related macular degeneration. In this paper, we develop a method for unsupervised and parallel segmentation of CNV in optical coherence tomography based on a grid tissue-like membrane (GTM) system. A GTM system incorporates a modified Clustering In QUEst (CLIQUE) algorithm into tissue-like membrane systems. Exploiting CLIQUE’s aptitude for unsupervised clustering, GTM systems can detect CNV of different shapes, positions and density without the need of a training stage. The average dice ratio is 0.84±0.04, outperforms both baseline and the state-of-the-art methods. Besides, being a parallel computational paradigm, GTM systems can handle all scans under analysis simultaneously and therefore they are less time consuming, completing CNV detection on 48 scans in 0.56 seconds.