Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

BACKGROUND: Extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning may yield promising performance of predicting ENE in HNSCC but lack of transparency and interpretability. This work proposes an evol...

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Detalles Bibliográficos
Autores principales: Huang, Tzu-Ting, Lin, Yi-Chen, Yen, Chia-Heng, Lan, Jui, Yu, Chiun-Chieh, Lin, Wei-Che, Chen, Yueh-Shng, Wang, Cheng-Kang, Huang, Eng-Yen, Ho, Shinn-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496246/
https://www.ncbi.nlm.nih.gov/pubmed/37700385
http://dx.doi.org/10.1186/s40644-023-00601-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496246/
https://www.ncbi.nlm.nih.gov/pubmed/37700385
http://dx.doi.org/10.1186/s40644-023-00601-7

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