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Automated knee cartilage segmentation for heterogeneous clinical MRI using generative adversarial networks with transfer learning.
Yang, Mingrui; Colak, Ceylan; Chundru, Kishore K; Gaj, Sibaji; Nanavati, Andreas; Jones, Morgan H; Winalski, Carl S; Subhas, Naveen; Li, Xiaojuan.
Affiliation
  • Yang M; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Colak C; Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA.
  • Chundru KK; Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Gaj S; Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Nanavati A; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Jones MH; Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA.
  • Winalski CS; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Subhas N; Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA.
  • Li X; Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, MA, USA.
Quant Imaging Med Surg ; 12(5): 2620-2633, 2022 May.
Article in En | MEDLINE | ID: mdl-35502381
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Quant Imaging Med Surg Year: 2022 Type: Article Affiliation country: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Quant Imaging Med Surg Year: 2022 Type: Article Affiliation country: United States