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Machine Learning-Based Automated Detection and Quantification of Geographic Atrophy and Hypertransmission Defects Using Spectral Domain Optical Coherence Tomography
The current study describes the development and assessment of innovative, machine learning (ML)-based approaches for automated detection and pixel-accurate measurements of regions with geographic atrophy (GA) in late-stage age-related macular degeneration (AMD) using optical coherence tomography sys...
Autores principales: | Kalra, Gagan, Cetin, Hasan, Whitney, Jon, Yordi, Sari, Cakir, Yavuz, McConville, Conor, Whitmore, Victoria, Bonnay, Michelle, Lunasco, Leina, Sassine, Antoine, Borisiak, Kevin, Cohen, Daniel, Reese, Jamie, Srivastava, Sunil K., Ehlers, Justis. P. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861976/ https://www.ncbi.nlm.nih.gov/pubmed/36675697 http://dx.doi.org/10.3390/jpm13010037 |
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