ChoroidSeg-ViT: A Transformer Model for Choroid Layer Segmentation Based on a Mixed Attention Feature Enhancement Mechanism-Reference-Cited by-同舟云学术

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ChoroidSeg-ViT: A Transformer Model for Choroid Layer Segmentation Based on a Mixed Attention Feature Enhancement Mechanism

Published:2024-09-05 Issue:9 Volume:13 Page:7
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Lu Zhaolin¹,Liu Tao²,Ni Yewen¹³,Liu Haiyang¹,Guan Lina¹

Affiliation:

1. The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China

2. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China

3. Xuzhou Medical University, Xuzhou, Jiangsu, China

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference38 articles.

1. The multifunctional choroid;Nickla;Prog Retin Eye Res,2010

2. Correlation between choroidal thickness and intraocular pressure control in primary angle-closure glaucoma;Singh;Indian J Ophthalmol,2022

3. The quantitative measurements of choroidal thickness and volume in diabetic retinopathy using optical coherence tomography and optical coherence tomography angiography; correlation with vision and foveal avascular zone;Ghassemi;BMC Ophthalmol,2022

4. Retinal and choroidal changes in AMD: a systematic review and meta-analysis of spectral-domain optical coherence tomography studies;Salehi;Surv Ophthalmol,2023

5. Retinal applications of swept source optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA);Lains;Prog Retin Eye Res,2021

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