Detection of active and inactive phases of thyroid-associated ophthalmopathy using deep convolutional neural network

BACKGROUND: This study aimed to establish a deep learning system for detecting the active and inactive phases of thyroid-associated ophthalmopathy (TAO) using magnetic resonance imaging (MRI). This system could provide faster, more accurate, and more objective assessments across populations. METHODS...

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Detalles Bibliográficos
Autores principales: Lin, Chenyi, Song, Xuefei, Li, Lunhao, Li, Yinwei, Jiang, Mengda, Sun, Rou, Zhou, Huifang, Fan, Xianqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807896/
https://www.ncbi.nlm.nih.gov/pubmed/33446163
http://dx.doi.org/10.1186/s12886-020-01783-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807896/
https://www.ncbi.nlm.nih.gov/pubmed/33446163
http://dx.doi.org/10.1186/s12886-020-01783-5

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