Development and Validation of a Deep Learning Algorithm to Automatic Detection of Pituitary Microadenoma From MRI

Background: It is often difficult to diagnose pituitary microadenoma (PM) by MRI alone, due to its relatively small size, variable anatomical structure, complex clinical symptoms, and signs among individuals. We develop and validate a deep learning -based system to diagnose PM from MRI. Methods: A t...

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Detalles Bibliográficos
Autores principales: Li, Qingling, Zhu, Yanhua, Chen, Minglin, Guo, Ruomi, Hu, Qingyong, Lu, Yaxin, Deng, Zhenghui, Deng, Songqing, Zhang, Tiecheng, Wen, Huiquan, Gao, Rong, Nie, Yuanpeng, Li, Haicheng, Chen, Jianning, Shi, Guojun, Shen, Jun, Cheung, Wai Wilson, Liu, Zifeng, Guo, Yulan, Chen, Yanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666533/
https://www.ncbi.nlm.nih.gov/pubmed/34912820
http://dx.doi.org/10.3389/fmed.2021.758690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666533/
https://www.ncbi.nlm.nih.gov/pubmed/34912820
http://dx.doi.org/10.3389/fmed.2021.758690

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