Your browser doesn't support javascript.
loading
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling.
Zhang, Yuan-Peng; Zhang, Xin-Yun; Cheng, Yu-Ting; Li, Bing; Teng, Xin-Zhi; Zhang, Jiang; Lam, Saikit; Zhou, Ta; Ma, Zong-Rui; Sheng, Jia-Bao; Tam, Victor C W; Lee, Shara W Y; Ge, Hong; Cai, Jing.
Affiliation
  • Zhang YP; Department of Medical Informatics, Nantong University, Nantong, 226001, Jiangsu, China.
  • Zhang XY; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Cheng YT; The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, 518000, Guangdong, China.
  • Li B; Department of Medical Informatics, Nantong University, Nantong, 226001, Jiangsu, China.
  • Teng XZ; Department of Medical Informatics, Nantong University, Nantong, 226001, Jiangsu, China.
  • Zhang J; Department of Radiation Oncology, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450008, Henan, China.
  • Lam S; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Zhou T; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Ma ZR; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Sheng JB; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Tam VCW; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Lee SWY; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Ge H; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
  • Cai J; Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
Mil Med Res ; 10(1): 22, 2023 05 16.
Article de En | MEDLINE | ID: mdl-37189155
Sujet(s)
Mots clés
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 Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Mil Med Res Année: 2023 Type de document: Article Pays d'affiliation: Chine 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 Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Mil Med Res Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni