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Deep Learning for Classification of Bone Lesions on Routine MRI.
Eweje, Feyisope R; Bao, Bingting; Wu, Jing; Dalal, Deepa; Liao, Wei-Hua; He, Yu; Luo, Yongheng; Lu, Shaolei; Zhang, Paul; Peng, Xianjing; Sebro, Ronnie; Bai, Harrison X; States, Lisa.
Affiliation
  • Eweje FR; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA; Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Bao B; Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Wu J; Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Dalal D; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • Liao WH; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, 410008, China.
  • He Y; Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Luo Y; Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
  • Lu S; Department of Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, RI, 02903, USA.
  • Zhang P; Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Peng X; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, 410008, China. Electronic address: pengxianjing@sina.cn.
  • Sebro R; Mayo Clinic Radiology, Jacksonville, FL, 32224, USA.
  • Bai HX; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA. Electronic address: Harrison_Bai@Brown.edu.
  • States L; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. Electronic address: states@email.chop.edu.
EBioMedicine ; 68: 103402, 2021 Jun.
Article in En | MEDLINE | ID: mdl-34098339

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bone Neoplasms / Magnetic Resonance Imaging / Radiographic Image Interpretation, Computer-Assisted Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Language: En Journal: EBioMedicine Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bone Neoplasms / Magnetic Resonance Imaging / Radiographic Image Interpretation, Computer-Assisted Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Language: En Journal: EBioMedicine Year: 2021 Document type: Article Affiliation country: Country of publication: