Anatomical Partition‐Based Deep Learning: An Automatic Nasopharyngeal MRI Recognition Scheme

BACKGROUND: Training deep learning (DL) models to automatically recognize diseases in nasopharyngeal MRI is a challenging task, and optimizing the performance of DL models is difficult. PURPOSE: To develop a method of training anatomical partition‐based DL model which integrates knowledge of clinica...

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Detalles Bibliográficos
Autores principales: Li, Song, Hua, Hong‐Li, Li, Fen, Kong, Yong‐Gang, Zhu, Zhi‐Ling, Li, Sheng‐Lan, Chen, Xi‐Xiang, Deng, Yu‐Qin, Tao, Ze‐Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541866/
https://www.ncbi.nlm.nih.gov/pubmed/35157782
http://dx.doi.org/10.1002/jmri.28112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541866/
https://www.ncbi.nlm.nih.gov/pubmed/35157782
http://dx.doi.org/10.1002/jmri.28112

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