Application of Convolutional Neural Network in the Diagnosis of Cavernous Sinus Invasion in Pituitary Adenoma

OBJECTIVES: Convolutional neural network (CNN) is a deep-learning method for image classification and recognition based on a multi-layer NN. In this study, CNN was used to accurately assess cavernous sinus invasion (CSI) in pituitary adenoma (PA). METHODS: A total of 371 patients with PA were enroll...

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Detalles Bibliográficos
Autores principales: Fang, Yi, Wang, He, Feng, Ming, Chen, Hongjie, Zhang, Wentai, Wei, Liangfeng, Pei, Zhijie, Wang, Renzhi, Wang, Shousen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047893/
https://www.ncbi.nlm.nih.gov/pubmed/35494041
http://dx.doi.org/10.3389/fonc.2022.835047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047893/
https://www.ncbi.nlm.nih.gov/pubmed/35494041
http://dx.doi.org/10.3389/fonc.2022.835047

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