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

ChoroidSeg-ViT could segment precise and smooth choroid layers and form the basis of an automatic choroid analysis system that would facilitate future choroidal research in ophthalmology.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2024-09-05
DOI
https://doi.org/10.1167/tvst.13.9.7
Citations
5
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
2.02

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article

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

Lina Guan, Tao Liu, Yewen Ni, Zhaolin Lu et al.
5 citations
Translational Vision Science & Technology
Retinal Imaging and Analysis
2.02
article

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

Lina Guan, Tao Liu, Yewen Ni, Zhaolin Lu, Haiyang Liu
article en
5 citations

Abstract

ChoroidSeg-ViT could segment precise and smooth choroid layers and form the basis of an automatic choroid analysis system that would facilitate future choroidal research in ophthalmology.

Translational Vision Science & TechnologyVol. 13(9)
Xuzhou Medical College (CN), China University of Mining and Technology (CN)
Xuzhou Medical University
Openalex Percentile: Top 13%
Retinal Imaging and Analysis
2.02
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