A Convolutional Neural Network Model for Detecting Sellar Floor Destruction of Pituitary Adenoma on Magnetic Resonance Imaging Scans

OBJECTIVE: Convolutional neural network (CNN) is designed for image classification and recognition with a multi-layer neural network. This study aimed to accurately assess sellar floor invasion (SFI) of pituitary adenoma (PA) using CNN. METHODS: A total of 1413 coronal and sagittal magnetic resonanc...

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Detalles Bibliográficos
Autores principales: Feng, Tianshun, Fang, Yi, Pei, Zhijie, Li, Ziqi, Chen, Hongjie, Hou, Pengwei, Wei, Liangfeng, Wang, Renzhi, Wang, Shousen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289618/
https://www.ncbi.nlm.nih.gov/pubmed/35860294
http://dx.doi.org/10.3389/fnins.2022.900519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289618/
https://www.ncbi.nlm.nih.gov/pubmed/35860294
http://dx.doi.org/10.3389/fnins.2022.900519

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