Joint Multimodal Deep Learning-based Automatic Segmentation of Indocyanine Green Angiography and OCT Images for Assessment of Polypoidal Choroidal Vasculopathy Biomarkers.

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作者： Jessica,Loo ^[1] ; Kelvin Y C,Teo ^[2] ; Chinmayi H,Vyas ^[3] ; Janice Marie N,Jordan-Yu ^[2] ; Amalia B,Juhari ^[2] ; Glenn J,Jaffe ^[2] ; Chui Ming Gemmy,Cheung ^[4] ; Sina,Farsiu ^[2]

作者单位： Department of Biomedical Engineering, Duke University, Durham, North Carolina. ^[1] Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore. ^[2] Duke-NUS Medical School, National University of Singapore, Singapore, Singapore. ^[3] Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina. ^[4]

关键词 OCT deep learning indocyanine green angiography multimodal image analysis polypoidal choroidal vasculopathy

DOI 10.1016/j.xops.2023.100292

PMID 37025946

发布时间 2023-06-10

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Ophthalmology science

2023年3卷3期

100292页

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Joint Multimodal Deep Learning-based Automatic Segmentation of Indocyanine Green Angiography and OCT Images for Assessment of Polypoidal Choroidal Vasculopathy Biomarkers.

Ophthalmology science

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Ophthalmology science

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Joint Multimodal Deep Learning-based Automatic Segmentation of Indocyanine Green Angiography and OCT Images for Assessment of Polypoidal Choroidal Vasculopathy Biomarkers.

Ophthalmology science

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Ophthalmology science

相关期刊

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