当前位置: X-MOL 学术Med Phys › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A novel 3D segmentation approach for extracting retinal layers from optical coherence tomography images
Medical Physics ( IF 3.2 ) Pub Date : 2021-01-15 , DOI: 10.1002/mp.14720
Ahmed A. Sleman 1 , Ahmed Soliman 1 , Mohamed Elsharkawy 1 , Guruprasad Giridharan 1 , Mohammed Ghazal 2 , Harpal Sandhu 3 , Shlomit Schaal 4 , Robert Keynton 5 , Adel Elmaghraby 6 , Ayman El‐Baz 1
Affiliation  

Accurate segmentation of retinal layers of the eye in 3D Optical Coherence Tomography (OCT) data provides relevant information for clinical diagnosis. This manuscript describes a 3D segmentation approach that uses an adaptive patient‐specific retinal atlas, as well as an appearance model for 3D OCT data.

中文翻译:

从光学相干断层扫描图像中提取视网膜层的新颖3D分割方法

在3D光学相干断层扫描(OCT)数据中对眼的视网膜层进行准确的分割可为临床诊断提供相关信息。该手稿描述了一种3D分割方法,该方法使用了适应性患者特定的视网膜图谱以及3D OCT数据的外观模型。
更新日期:2021-01-15
down
wechat
bug