Artificial intelligence-based multi-modal multi-tasks analysis reveals tumor molecular heterogeneity, predicts preoperative lymph node metastasis and prognosis in papillary thyroid carcinoma: a retrospective study.

Bibliographic Details
Published in:International Journal of Surgery Vol. 111; no. 1; pp. 839 - 857
Main Authors: Yu, Yunfang, Ouyang, Wenhao, Huang, Yunxi, Huang, Hong, Wang, Zehua, Jia, Xueyuan, Huang, Zhenjun, Lin, Ruichong, Zhu, Yue, yalikun, Yisitandaer, Tan, Langping, Li, Xi, Zhao, Fei, Chen, Zhange, Li, Wenting, Liao, Jianwei, Yao, Herui, Long, Miaoyun
Format: Journal Article
Published: Wolters Kluwer Health Jan2025
Online Access:View this record in EBSCOhost
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      dt: Jan2025
      vid: 111
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        atl: Artificial intelligence-based multi-modal multi-tasks analysis reveals tumor molecular heterogeneity, predicts preoperative lymph node metastasis and prognosis in papillary thyroid carcinoma: a retrospective study.
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        au:
          Yu, Yunfang
          Ouyang, Wenhao
          Huang, Yunxi
          Huang, Hong
          Wang, Zehua
          Jia, Xueyuan
          Huang, Zhenjun
          Lin, Ruichong
          Zhu, Yue
          yalikun, Yisitandaer
          Tan, Langping
          Li, Xi
          Zhao, Fei
          Chen, Zhange
          Li, Wenting
          Liao, Jianwei
          Yao, Herui
          Long, Miaoyun
        affil: Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Thyroid Surgery, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
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    language: English
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