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

Tzu-Ting HuangYi-Chen LinChia-Heng YenJui LanChiun-Chieh YuWei-Che LinYueh-Shng ChenCheng-Kang WangEng-Yen HuangShinn-Ying Ho
Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2023)
The EL-ENE method provided an accurate, comprehensible, and robust model to predict ENE in HNSCC with interpretable radiomic features for expanding clinical knowledge. The proposed transparent prediction models are more trustworthy and may increase their acceptance in daily clinical practice.
Keyphrases
  • clinical practice
  • computed tomography
  • high resolution
  • magnetic resonance imaging
  • contrast enhanced
  • magnetic resonance