Aug 31, 2024 · The study demonstrated that using GCC aware DL model based on macular B-scans shows great promise in the accurate screening of glaucoma.
Sep 9, 2024 · The current study used deep segmentation models to extract the GCC region which is composed of the retinal nerve fiber layer and ganglion cells ...
GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep CNN ... deep learning system detected glaucomatous structural change with high ...
The study demonstrated that using GCC aware DL model based on macular B-scans shows great promise in the accurate screening of glaucoma and suggests that ...
GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep CNN. Hana Mekonen, Tesfaye Tadesse,Ondrej Krejcar,Kenzu Abdella,Dawit Assefa.
Artificial intelligence in glaucoma: posterior segment optical ...
pmc.ncbi.nlm.nih.gov › PMC10090343
This review will summarize recent developments in DL models that utilize posterior segment optical coherence tomography (OCT) imaging for glaucoma ...
This paper provides a comprehensive survey of studies on AI-based glaucoma diagnosis using fundus, optical coherence tomography, and visual field images
Conclusions DCNNs may be a useful tool for detecting glaucoma or glaucoma-suspected eyes by use of fundus color images. Proper preprocessing and collection of ...
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Jul 31, 2023 · In this paper, we survey recent studies on AI-based glaucoma diagnosis using fundus, optical coherence tomography, and visual field images, with ...
Optical coherence tomography (OCT) has become a commonly utilized imaging modality that aids in the detection and monitoring of structural glaucomatous damage.