Prediction of corneal astigmatism based on corneal tomography after femtosecond laser arcuate keratotomy using a pix2pix conditional generative adversarial network.

Zhang, Zhe; Cheng, Nan; Liu, Yunfang; Song, Junyang; Liu, Xinhua; Zhang, Suhua; Zhang, Guanghua

Zhang, Zhe; Cheng, Nan; Liu, Yunfang; Song, Junyang; Liu, Xinhua; Zhang, Suhua; Zhang, Guanghua.

Afiliación

Zhang Z; Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China.
Cheng N; Department of Cataract, Shanxi Eye Hospital, Taiyuan, China.
Liu Y; First Hospital of Shanxi Medical University, Taiyuan, China.
Song J; College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan, China.
Liu X; Department of Ophthalmology, First Affiliated Hospital of Huzhou University, Huzhou, China.
Zhang S; Department of Ophthalmology, First Affiliated Hospital of Huzhou University, Huzhou, China.
Zhang G; Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China.

Front Public Health ; 10: 1012929, 2022.

Article en En | MEDLINE | ID: mdl-36187623

Asunto(s)

Astigmatismo; Inteligencia Artificial; Astigmatismo/cirugía; Topografía de la Córnea; Humanos; Rayos Láser; Estudios Retrospectivos; Tomografía; Agudeza Visual

Palabras clave

conditional generative adversarial network; corneal tomography; deep learning model; femtosecond laser arcuate keratotomy; surgical planning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Astigmatismo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: China

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