Application of a Deep Learning System in Pterygium Grading and Further Prediction of Recurrence with Slit Lamp Photographs

Application of a Deep Learning System in Pterygium Grading and Further Prediction of Recurrence with Slit Lamp Photographs

Background: The aim of this study was to evaluate the efficacy of a deep learning system in pterygium grading and recurrence prediction. Methods: This was a single center, retrospective study. Slit-lamp photographs, from patients with or without pterygium, were collected to develop an algorithm. Dem...

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Bibliographic Details
Main Authors: Kuo-Hsuan Hung, Chihung Lin, Jinsheng Roan, Chang-Fu Kuo, Ching-Hsi Hsiao, Hsin-Yuan Tan, Hung-Chi Chen, David Hui-Kang Ma, Lung-Kun Yeh, Oscar Kuang-Sheng Lee
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
automatic pterygium grading
deep learning system
slit-lamp photograph
prediction of pterygium recurrence
Online Access:https://www.mdpi.com/2075-4418/12/4/888

Internet

https://www.mdpi.com/2075-4418/12/4/888

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