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

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 to...

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Autores principales: Qingling Li, Yanhua Zhu, Minglin Chen, Ruomi Guo, Qingyong Hu, Yaxin Lu, Zhenghui Deng, Songqing Deng, Tiecheng Zhang, Huiquan Wen, Rong Gao, Yuanpeng Nie, Haicheng Li, Jianning Chen, Guojun Shi, Jun Shen, Wai Wilson Cheung, Zifeng Liu, Yulan Guo, Yanming Chen
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
pituitary microadenoma
magnetic resonance imaging
deep learning
algorithm
computer-aided diagnosis
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/bdc6c1213aaa4df19636f748afc44cbd
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https://doaj.org/article/bdc6c1213aaa4df19636f748afc44cbd

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