Diagnosis of thyroid disease using deep convolutional neural network models applied to thyroid scintigraphy images: a multicenter study

OBJECTIVES: The aim of this study was to improve the diagnostic performance of nuclear medicine physicians using a deep convolutional neural network (DCNN) model and validate the results with two multicenter datasets for thyroid disease by analyzing clinical single-photon emission computed tomograph...

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Detalles Bibliográficos
Autores principales: Zhao, Huayi, Zheng, Chenxi, Zhang, Huihui, Rao, Maohua, Li, Yixuan, Fang, Danzhou, Huang, Jiahui, Zhang, Wenqian, Yuan, Gengbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453808/
https://www.ncbi.nlm.nih.gov/pubmed/37635985
http://dx.doi.org/10.3389/fendo.2023.1224191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453808/
https://www.ncbi.nlm.nih.gov/pubmed/37635985
http://dx.doi.org/10.3389/fendo.2023.1224191

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