Application of neural networks for improving the methods of assessment of corneal nerve fibers (preliminary report)

Processing large datasets using artificial intelligence is a promising approach in disease diagnosis and monitoring that focuses on improving research algorithms for existing technologies. Interest in studying corneal nerve fibers (CNFs) arises not only from the need to understand the pathogenesis a...

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Bibliographic Details

Published in:	Vestnik oftal'mologii Vol. 141; no. 2; p. 117
Main Authors:	Avetisov, S E, Surnina, Z V, Georgiev, S
Format:	Journal Article
Language:	Russian
Published:	Russia (Federation) 2025
Subjects:	Adult Algorithms Cornea - innervation Female Humans Image Processing, Computer-Assisted - methods Male Microscopy, Confocal - methods Middle Aged Nerve Fibers - pathology Neural Networks, Computer corneal nerves neural networks corneal confocal microscopy
ISSN:	0042-465X
Online Access:	Get more information
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