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Fully automated radiomic screening pipeline for osteoporosis and abnormal bone density with a deep learning-based segmentation using a short lumbar mDixon sequence.
Zhao, Yinxia; Zhao, Tianyun; Chen, Shenglan; Zhang, Xintao; Serrano Sosa, Mario; Liu, Jin; Mo, Xianfu; Chen, Xiaojun; Huang, Mingqian; Li, Shaolin; Zhang, Xiaodong; Huang, Chuan.
Afiliação
  • Zhao Y; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Orthopaedic Hospital of Guangdong Province), Guangzhou, China.
  • Zhao T; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
  • Chen S; Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
  • Zhang X; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Orthopaedic Hospital of Guangdong Province), Guangzhou, China.
  • Serrano Sosa M; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
  • Liu J; Department of Radiology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
  • Mo X; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Orthopaedic Hospital of Guangdong Province), Guangzhou, China.
  • Chen X; Department of Radiology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
  • Huang M; Department of Radiology, The Mount Sinai Hospital, New York, NY, USA.
  • Li S; Department of Radiology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
  • Zhang X; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Orthopaedic Hospital of Guangdong Province), Guangzhou, China.
  • Huang C; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Quant Imaging Med Surg ; 12(2): 1198-1213, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35111616
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article