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

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

Abstract 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...

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Bibliographic Details
Main Authors: Tzu-Ting Huang, Yi-Chen Lin, Chia-Heng Yen, Jui Lan, Chiun-Chieh Yu, Wei-Che Lin, Yueh-Shng Chen, Cheng-Kang Wang, Eng-Yen Huang, Shinn-Ying Ho
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Cancer Imaging
Subjects:
Head and neck squamous cell carcinoma
Extranodal extension
Radiomics
Evolutionary learning
Artificial intelligence
Online Access:https://doi.org/10.1186/s40644-023-00601-7

Internet

https://doi.org/10.1186/s40644-023-00601-7

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