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Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.
Abidin, Anas Z; Deng, Botao; DSouza, Adora M; Nagarajan, Mahesh B; Coan, Paola; Wismüller, Axel.
Afiliación
  • Abidin AZ; Department of Biomedical Engineering, University of Rochester Medical Center, Rochester, NY, USA. Electronic address: anas.abidin@rochester.edu.
  • Deng B; Department of Electrical Engineering, University of Rochester Medical Center, Rochester, NY, USA.
  • DSouza AM; Department of Electrical Engineering, University of Rochester Medical Center, Rochester, NY, USA.
  • Nagarajan MB; Department of Radiological Sciences, University of California Los Angeles, Los Angeles, USA.
  • Coan P; European Synchrotron Radiation Facility, Grenoble, France; Faculty of Medicine and Institute of Clinical Radiology, Ludwig Maximilians University, Munich Germany.
  • Wismüller A; Department of Biomedical Engineering, University of Rochester Medical Center, Rochester, NY, USA; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA; Department of Electrical Engineering, University of Rochester Medical Center, Rochester, NY, USA; Faculty of M
Comput Biol Med ; 95: 24-33, 2018 04 01.
Article en En | MEDLINE | ID: mdl-29433038
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoartritis / Rótula / Cartílago / Tomografía Computarizada por Rayos X / Redes Neurales de la Computación / Condrocitos / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoartritis / Rótula / Cartílago / Tomografía Computarizada por Rayos X / Redes Neurales de la Computación / Condrocitos / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos