Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm.
Ben AsaniOlle HolmbergJohannes B SchiefelbeinMichael HafnerTina HeroldHannah SpitzerJakob SiedleckiChristoph KernKarsten U KortuemAmit FrishbergFabian Joachim TheisSiegfried G PriglingerPublished in: Eye (London, England) (2024)
The segmentation algorithm allows efficient volumetric analysis of OCT scans. Anti-VEGF provokes most potent changes in the first 3 months while a gradual loss of RPE hints at a progressing decline of visual acuity. Additional research is required to understand how these accurate OCT predictions can be leveraged for a personalized therapy regimen.
Keyphrases
- deep learning
- optical coherence tomography
- diabetic retinopathy
- convolutional neural network
- machine learning
- age related macular degeneration
- vascular endothelial growth factor
- optic nerve
- computed tomography
- endothelial cells
- stem cells
- neural network
- magnetic resonance
- anti inflammatory
- magnetic resonance imaging
- mass spectrometry
- cell therapy