Deep Convolutional Neural Network for Nasopharyngeal Carcinoma Discrimination on MRI by Comparison of Hierarchical and Simple Layered Convolutional Neural Networks

Nasopharyngeal carcinoma (NPC) is one of the most common head and neck cancers. Early diagnosis plays a critical role in the treatment of NPC. To aid diagnosis, deep learning methods can provide interpretable clues for identifying NPC from magnetic resonance images (MRI). To identify the optimal mod...

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Detalles Bibliográficos
Autores principales: Ji, Li, Mao, Rongzhi, Wu, Jian, Ge, Cheng, Xiao, Feng, Xu, Xiaojun, Xie, Liangxu, Gu, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601165/
https://www.ncbi.nlm.nih.gov/pubmed/36292167
http://dx.doi.org/10.3390/diagnostics12102478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601165/
https://www.ncbi.nlm.nih.gov/pubmed/36292167
http://dx.doi.org/10.3390/diagnostics12102478

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