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

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

Purpose: To develop a fully-automatic hybrid algorithm to jointly segment and quantify biomarkers of polypoidal choroidal vasculopathy (PCV) on indocyanine green angiography (ICGA) and spectral domain-OCT (SD-OCT) images. Design: Evaluation of diagnostic test or technology. Participants: Seventy-two...

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Bibliographic Details
Main Authors: Jessica Loo, PhD, Kelvin Y.C. Teo, MD, Chinmayi H. Vyas, MD, Janice Marie N. Jordan-Yu, MD, Amalia B. Juhari, MD, Glenn J. Jaffe, MD, Chui Ming Gemmy Cheung, MD, Sina Farsiu, PhD
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Ophthalmology Science
Subjects:
deep learning
multimodal image analysis
indocyanine green angiography
polypoidal choroidal vasculopathy
OCT
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523000246

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http://www.sciencedirect.com/science/article/pii/S2666914523000246

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