Automated histopathological evaluation of pterygium using artificial intelligence

PurposeThis study aimed to evaluate the efficacy of a new automated method for the evaluation of histopathological images of pterygium using artificial intelligence.MethodsAn in-house software for automated grading of histopathological images was developed. Histopathological images of pterygium (400...

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Veröffentlicht in:	British journal of ophthalmology 2023-05, Vol.107 (5), p.627-634
Hauptverfasser:	Kim, Jong Hoon, Kim, Young Jae, Lee, Yeon Jeong, Hyon, Joon Young, Han, Sang Beom, Kim, Kwang Gi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Astigmatism Automation Clinical science Conjunctiva cornea Humans Pterygium - diagnosis Quantitative analysis Random variables Reproducibility of Results Software Vascular endothelial growth factor
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