Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye

Autor:	Prudencio Tossou, Nicolas P. Lapointe, Damon DePaoli, Joannie Desroches, Catherine Paulin, Daniel Côté, Dominic Sauvageau, Patrick Sauvageau
Rok vydání:	2019
Předmět:	Ophthalmology business.industry Computer science Computer vision General Medicine Artificial intelligence business Convolutional neural network Imaging phantom
Zdroj:	Acta Ophthalmologica. 97
ISSN:	1755-3768 1755-375X
DOI:	10.1111/j.1755-3768.2019.5463
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9e7cd45eb5b13c72eb359a9763687b51 https://doi.org/10.1111/j.1755-3768.2019.5463 Zobrazit plný text záznamu Plný text