Multi-view learning for lymph node metastasis prediction using tumor and nodal radiomics in gastric cancer.

Yang, Jing; Wang, Li; Qin, Jiale; Du, Jichen; Ding, Mingchao; Niu, Tianye; Li, Rencang

Yang, Jing; Wang, Li; Qin, Jiale; Du, Jichen; Ding, Mingchao; Niu, Tianye; Li, Rencang.

Affiliation

Yang J; Peking University Aerospace School of Clinical Medicine, Aerospace Center Hospital, Beijing 100049, People's Republic of China.
Wang L; Shenzhen Bay Laboratory, Shenzhen 518118, People's Republic of China.
Qin J; Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China.
Du J; Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019-0408, United States of America.
Ding M; Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019-0408, United States of America.
Niu T; Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China.
Li R; Peking University Aerospace School of Clinical Medicine, Aerospace Center Hospital, Beijing 100049, People's Republic of China.

Phys Med Biol ; 67(5)2022 02 24.

Article de En | MEDLINE | ID: mdl-35108700

Sujet(s)
Mots clés

gastric cancer; lymph node metastasis; multi-view learning; preoperative prediction; radiomics

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs de l'estomac Type d'étude: Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Phys Med Biol Année: 2022 Type de document: Article

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