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Ultrasound-Based Radiomics Analysis for Predicting Disease-Free Survival of Invasive Breast Cancer.
Xiong, Lang; Chen, Haolin; Tang, Xiaofeng; Chen, Biyun; Jiang, Xinhua; Liu, Lizhi; Feng, Yanqiu; Liu, Longzhong; Li, Li.
Afiliación
  • Xiong L; Department of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Chen H; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Tang X; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China.
  • Chen B; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou, China.
  • Jiang X; Department of Ultrasound, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Liu L; Department of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Feng Y; Department of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Liu L; Department of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Li L; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Front Oncol ; 11: 621993, 2021.
Article en En | MEDLINE | ID: mdl-33996546
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: China