Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review

Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review

Artificial intelligence (AI) has seen significant progress in medical diagnostics, particularly in image and video analysis. This review focuses on the application of AI in analyzing in vivo confocal microscopy (IVCM) images for corneal diseases. The cornea, as an exposed and delicate part of the bo...

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Bibliographic Details
Main Authors: Katarzyna Kryszan, Adam Wylęgała, Magdalena Kijonka, Patrycja Potrawa, Mateusz Walasz, Edward Wylęgała, Bogusława Orzechowska-Wylęgała
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Diagnostics
Subjects:
artificial intelligence
deep learning
machine learning
in vivo confocal microscopy
Online Access:https://www.mdpi.com/2075-4418/14/7/694

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https://www.mdpi.com/2075-4418/14/7/694

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