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Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy.
Liu, Hai-Qing; Lin, Si-Ying; Song, Yi-Dong; Mai, Si-Yao; Yang, Yue-Dong; Chen, Kai; Wu, Zhuo; Zhao, Hui-Ying.
Afiliação
  • Liu HQ; Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
  • Lin SY; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
  • Song YD; School of Software Engineering, Sun Yat-sen University, Zhuhai, 519000, China.
  • Mai SY; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510000, China.
  • Yang YD; Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
  • Chen K; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
  • Wu Z; School of Software Engineering, Sun Yat-sen University, Zhuhai, 519000, China.
  • Zhao HY; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Eur Radiol ; 33(4): 2965-2974, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36418622
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Idioma: En Ano de publicação: 2023 Tipo de documento: Article