Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature.

Bibliographic Details
Published in:European Radiology Vol. 34; no. 8; pp. 5349 - 5360
Main Authors: Liu, Qianhan, Liu, Shengdan, Mao, Yu, Kang, Xuefeng, Yu, Mingling, Chen, Guangxiang
Format: Journal Article
Published: Springer Nature Aug2024
Online Access:View this record in EBSCOhost
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        atl: Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature.
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          Liu, Qianhan
          Liu, Shengdan
          Mao, Yu
          Kang, Xuefeng
          Yu, Mingling
          Chen, Guangxiang
        affil: https://ror.org/0014a0n68 Department of Radiology, The Affiliated Hospital of Southwest Medical University, No. 23 Tai Ping Street, 646000, Luzhou, Sichuan, China
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