Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells

Significance: An accurate, automated, and unbiased cell counting procedure is needed for tissue selection for corneal transplantation. Aim: To improve accuracy and reduce bias in endothelial cell density (ECD) quantification by combining Gabor-domain optical coherence microscopy (GDOCM) for three-di...

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Bibliografske podrobnosti
izdano v:J Biomed Opt
Main Authors: Canavesi, Cristina, Cogliati, Andrea, Hindman, Holly B.
Format: Artigo
Jezik:Inglês
Izdano: Society of Photo-Optical Instrumentation Engineers 2020
Teme:
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7413309/
https://ncbi.nlm.nih.gov/pubmed/32770867
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.25.9.092902
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