期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Automatic fovea detection and choroid segmentation for choroidal thickness assessment in optical coherence tomography
1
作者 Chen Yu Lin Hung Ju Chen +3 位作者 Yi Kit Chan Wei Ping Hsia Yu Len Huang chia jen chang 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2024年第10期1763-1771,共9页
AIM:To develop an automated model for subfoveal choroidal thickness(SFCT)detection in optical coherence tomography(OCT)images,addressing manual fovea location and choroidal contour challenges.METHODS:Two procedures we... AIM:To develop an automated model for subfoveal choroidal thickness(SFCT)detection in optical coherence tomography(OCT)images,addressing manual fovea location and choroidal contour challenges.METHODS:Two procedures were proposed:defining the fovea and segmenting the choroid.Fovea localization from B-scan OCT image sequence with three-dimensional reconstruction(LocBscan-3D)predicted fovea location using central foveal depression features,and fovea localization from two-dimensional en-face OCT(LocEN-2D)used a mask region-based convolutional neural network(Mask R-CNN)model for optic disc detection,and determined the fovea location based on optic disc relative position.Choroid segmentation also employed Mask R-CNN.RESULTS:For 53 eyes in 28 healthy subjects,LocBscan-3D’s mean difference between manual and predicted fovea locations was 170.0μm,LocEN-2D yielded 675.9μm.LocEN-2D performed better in non-high myopia group(P=0.02).SFCT measurements from Mask R-CNN aligned with manual values.CONCLUSION:Our models accurately predict SFCT in OCT images.LocBscan-3D excels in precise fovea localization even with high myopia.LocEN-2D shows high detection rates but lower accuracy especially in the high myopia group.Combining both models offers a robust SFCT assessment approach,promising efficiency and accuracy for large-scale studies and clinical use. 展开更多
关键词 subfoveal choroidal thickness optical coherence tomography automatic foveal detection automatic choroid segmentation
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部