Magnetic Resonance Imaging Features on Deep Learning Algorithm for the Diagnosis of Nasopharyngeal Carcinoma

The objective of this research was to investigate the application values of magnetic resonance imaging (MRI) features of the deep learning-based image super-resolution reconstruction algorithm optimized convolutional neural network (OPCNN) algorithm in nasopharyngeal carcinoma (NPC) lesion diagnosis...

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Detalles Bibliográficos
Autores principales: Huang, Ruijie, Zhou, Zhanmei, Wang, Xintao, Cao, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159821/
https://www.ncbi.nlm.nih.gov/pubmed/35677026
http://dx.doi.org/10.1155/2022/3790269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159821/
https://www.ncbi.nlm.nih.gov/pubmed/35677026
http://dx.doi.org/10.1155/2022/3790269

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