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Combination of ultrafast dynamic contrast-enhanced MRI-based radiomics and artificial neural network in assessing BI-RADS 4 breast lesions: Potential to avoid unnecessary biopsies.
Lyu, Yidong; Chen, Yan; Meng, Lingsong; Guo, Jinxia; Zhan, Xiangyu; Chen, Zhuo; Yan, Wenjun; Zhang, Yuyan; Zhao, Xin; Zhang, Yanwu.
Affiliation
  • Lyu Y; Department I of Breast, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Chen Y; Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Meng L; Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Guo J; General Electric (GE) Healthcare, MR Research China, Beijing, China.
  • Zhan X; Department I of Breast, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Chen Z; Department I of Breast, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Yan W; Department I of Breast, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Zhang Y; Department I of Breast, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Zhao X; Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Zhang Y; Department I of Breast, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Front Oncol ; 13: 1074060, 2023.
Article de En | MEDLINE | ID: mdl-36816972
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Observational_studies Langue: En Journal: Front Oncol Année: 2023 Type de document: Article Pays d'affiliation: Chine
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Observational_studies Langue: En Journal: Front Oncol Année: 2023 Type de document: Article Pays d'affiliation: Chine