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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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