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Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach

机译：通过基于图的SLIC超像素和流形排序方法对黄斑OCT图像进行自动层分割

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Gao Z; Bu W; Zheng Y; Wu X;
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年度 2017
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1. Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach [J] . Gao Zhijun, Bu Wei, Zheng Yalin, Computerized Medical Imaging and Graphics: The Official Jounal of the Computerized Medical Imaging Society . 2017,第期

机译：基于曲线图的切杆超像素和歧管排名方法自动化黄斑OCT图像的自动化层分割
2. Automated segmentation of macular layers in OCT images and quantitative evaluation of performances [J] . Serguei A. Mokhov Computing reviews . 2013,第10期

机译：OCT图像中黄斑层的自动分割和性能的定量评估
3. Automated segmentation of outer retinal layers in macular OCT images of patients with retinitis pigmentosa [J] . Qi Yang, Charles A. Reisman, Kinpui Chan, Biomedical Optics Express . 2011,第9期

机译：色素性视网膜炎患者黄斑OCT图像中视网膜外层的自动分割
4. Fully convolutional network and graph-based method for co-segmentation of retinal layer on macular OCT images [C] . Yun Liu, Gang Ren, Gongping Yang, International Conference on Pattern Recognition . 2018

机译：全卷积网络和基于图的黄斑OCT图像视网膜层共分割方法
5. A combined machine-learning and graph-based framework for the 3-D automated segmentation of retinal structures in SD-OCT images. [D] . Antony, Bhavna Josephine. 2013

机译：结合了机器学习和基于图的框架，可对SD-OCT图像中的视网膜结构进行3-D自动分割。
6. Automated segmentation of outer retinal layers in macular OCT images of patients with retinitis pigmentosa [O] . Qi Yang, Charles A. Reisman, Kinpui Chan, 2011

机译：色素性视网膜炎患者黄斑OCT图像中视网膜外层的自动分割
7. Automated segmentation of outer retinal layers in macular OCT images of patients with retinitis pigmentosa [O] . Yang, Qi, Reisman, Charles A., Chan, Kinpui, 2011

机译：色素性视网膜炎患者黄斑OCT图像中视网膜外层的自动分割
8. Marker-Based Approach for the Automated Selection of a Single Segmentation from a Hierarchical Set of Image Segmentations [R] . Tarabalka, Y., Tilton, J. C., Benediktsson, J. A., 2012

机译：基于标记的方法从一组图像分割中自动选择单个分割

Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach

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