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Energy spectrum CT index-based machine learning model predicts the effect of intravenous thrombolysis in lower limbs.
Liu, Rong; Yang, Junlin; Yin, Hongkun; Wu, Qian; Yu, Pengxin; Zhang, Wei; Li, Chenglong; Fan, Guohua; Ju, Shenghong; Cai, Wu.
Affiliation
  • Liu R; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Yang J; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Yin H; Institute of Advanced Research, Infervision Medical Technology Co., Beijing, China.
  • Wu Q; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Yu P; Institute of Advanced Research, Infervision Medical Technology Co., Beijing, China.
  • Zhang W; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Li C; Department of Vascular Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Fan G; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Ju S; Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Cai W; Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
J Appl Clin Med Phys ; 24(7): e14048, 2023 Jul.
Article de En | MEDLINE | ID: mdl-37254659
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Nomogrammes / Apprentissage machine Type d'étude: Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: J Appl Clin Med Phys Sujet du journal: BIOFISICA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique
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: Nomogrammes / Apprentissage machine Type d'étude: Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: J Appl Clin Med Phys Sujet du journal: BIOFISICA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique