Automated segmentation of geographic atrophy using deep convolutional neural networks
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Publisher
SPIE
Reference15 articles.
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1. Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy towards Comparative Performance on Optical Coherence Tomography as on Fundus Autofluorescence;Applied Sciences;2024-09-03
2. Measuring Geographic Atrophy Area Using Column-Based Machine Learning Software on Spectral-Domain Optical Coherence Tomography versus Fundus Auto Fluorescence;Bioengineering;2024-08-19
3. Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy;2024-02-13
4. Using Ensemble OCT-Derived Features beyond Intensity Features for Enhanced Stargardt Atrophy Prediction with Deep Learning;Applied Sciences;2023-07-24
5. Geographic Atrophy Segmentation Using Multimodal Deep Learning;Translational Vision Science & Technology;2023-07-10
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