A Fully Automatic Postoperative Appearance Prediction System for Blepharoptosis Surgery with Image-based Deep Learning

PURPOSE: To automatically predict the postoperative appearance of blepharoptosis surgeries and evaluate the generated images both objectively and subjectively in a clinical setting. DESIGN: Cross-sectional study. PARTICIPANTS: This study involved 970 pairs of images of 450 eyes from 362 patients und...

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Detalles Bibliográficos
Autores principales: Sun, Yiming, Huang, Xingru, Zhang, Qianni, Lee, Sang Yeul, Wang, Yaqi, Jin, Kai, Lou, Lixia, Ye, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560561/
https://www.ncbi.nlm.nih.gov/pubmed/36245755
http://dx.doi.org/10.1016/j.xops.2022.100169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560561/
https://www.ncbi.nlm.nih.gov/pubmed/36245755
http://dx.doi.org/10.1016/j.xops.2022.100169

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