Artificial Intelligence for Automated Overlay of Fundus Camera and Scanning Laser Ophthalmoscope Images

PURPOSE: The purpose of this study was to evaluate the ability to align two types of retinal images taken on different platforms; color fundus (CF) photographs and infrared scanning laser ophthalmoscope (IR SLO) images using mathematical warping and artificial intelligence (AI). METHODS: We collecte...

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Detalles Bibliográficos
Autores principales: Cavichini, Melina, An, Cheolhong, Bartsch, Dirk-Uwe G., Jhingan, Mahima, Amador-Patarroyo, Manuel J., Long, Christopher P., Zhang, Junkang, Wang, Yiqian, Chan, Alison X., Madala, Samantha, Nguyen, Truong, Freeman, William R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594596/
https://www.ncbi.nlm.nih.gov/pubmed/33173612
http://dx.doi.org/10.1167/tvst.9.2.56

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594596/
https://www.ncbi.nlm.nih.gov/pubmed/33173612
http://dx.doi.org/10.1167/tvst.9.2.56

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