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Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer.
Ye, Yunrui; Wu, Xiaomei; Wang, Huihui; Ye, Huifen; Zhao, Ke; Yao, Su; Liu, Zaiyi; Zhu, Yaxi; Zhang, Qingling; Liang, Changhong.
Affiliation
  • Ye Y; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China.
  • Wu X; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China.
  • Wang H; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China.
  • Ye H; Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
  • Zhao K; Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, P.R. China.
  • Yao S; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China.
  • Liu Z; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China.
  • Zhu Y; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China.
  • Zhang Q; Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China.
  • Liang C; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China.
Ann Med ; 55(1): 2215541, 2023 12.
Article de En | MEDLINE | ID: mdl-37224471
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Tumeurs colorectales Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Langue: En Journal: Ann Med Sujet du journal: MEDICINA Année: 2023 Type de document: Article Pays de publication: Royaume-Uni
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Tumeurs colorectales Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Langue: En Journal: Ann Med Sujet du journal: MEDICINA Année: 2023 Type de document: Article Pays de publication: Royaume-Uni