Research progress and application of artificial intelligence in thyroid associated ophthalmopathy.

Diao, Jiale; Chen, Xinxin; Shen, Ya; Li, Jian; Chen, Yuqing; He, Linfeng; Chen, Sainan; Mou, Pei; Ma, Xiaoye; Wei, Ruili

Diao, Jiale; Chen, Xinxin; Shen, Ya; Li, Jian; Chen, Yuqing; He, Linfeng; Chen, Sainan; Mou, Pei; Ma, Xiaoye; Wei, Ruili.

Afiliación

Diao J; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Chen X; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Shen Y; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Li J; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Chen Y; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
He L; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Chen S; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Mou P; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Ma X; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Wei R; Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.

Front Cell Dev Biol ; 11: 1124775, 2023.

Article en En | MEDLINE | ID: mdl-36760363

Palabras clave

artificial intelligence; automated diagnosis; deep learning; facial images; thyroid-associated ophthalmopathy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Cell Dev Biol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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