Convolutional Neural Network Intelligent Segmentation Algorithm-Based Magnetic Resonance Imaging in Diagnosis of Nasopharyngeal Carcinoma Foci

The aim of this study was to explore the adoption value of convolutional neural network- (CNN-) based magnetic resonance imaging (MRI) image intelligent segmentation model in the identification of nasopharyngeal carcinoma (NPC) lesions. The multisequence cross convolutional (MSCC) method was used in...

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Detalles Bibliográficos
Autores principales: Wang, Deli, Gong, Zheng, Zhang, Yanfen, Wang, Shouxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380181/
https://www.ncbi.nlm.nih.gov/pubmed/34456649
http://dx.doi.org/10.1155/2021/2033806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380181/
https://www.ncbi.nlm.nih.gov/pubmed/34456649
http://dx.doi.org/10.1155/2021/2033806

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