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Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning.
Chen, Xiao; Zhang, Yang; Zhou, Jiahuan; Wang, Xiao; Liu, Xinmiao; Nie, Ke; Lin, Xiaomin; He, Wenwen; Su, Min-Ying; Cao, Guoquan; Wang, Meihao.
Afiliación
  • Chen X; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhang Y; Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
  • Zhou J; Department of Radiological Sciences, University of California, Irvine, Irvine, CA, United States.
  • Wang X; Department of Radiology, Yuyao Hospital of Traditional Chinese Medicine, Ningbo, China.
  • Liu X; Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
  • Nie K; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
  • Lin X; Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
  • He W; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Su MY; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Cao G; Department of Radiological Sciences, University of California, Irvine, Irvine, CA, United States.
  • Wang M; Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Front Oncol ; 12: 991892, 2022.
Article en En | MEDLINE | ID: mdl-36582788
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China