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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
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
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Diagnostics
Assuntos:
automatic pterygium grading
deep learning system
slit-lamp photograph
prediction of pterygium recurrence
Acesso em linha:https://www.mdpi.com/2075-4418/12/4/888
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados