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Novel stochastic framework for automatic segmentation of human thigh MRI volumes and its applications in spinal cord injured individuals.
Mesbah, Samineh; Shalaby, Ahmed M; Stills, Sean; Soliman, Ahmed M; Willhite, Andrea; Harkema, Susan J; Rejc, Enrico; El-Baz, Ayman S.
Afiliação
  • Mesbah S; Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, United States of America.
  • Shalaby AM; Department of Bioengineering, University of Louisville, Louisville, KY, United States of America.
  • Stills S; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States of America.
  • Soliman AM; Department of Bioengineering, University of Louisville, Louisville, KY, United States of America.
  • Willhite A; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States of America.
  • Harkema SJ; Department of Bioengineering, University of Louisville, Louisville, KY, United States of America.
  • Rejc E; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States of America.
  • El-Baz AS; Frazier Rehab Institute, Kentucky One Health, Louisville, KY, United States of America.
PLoS One ; 14(5): e0216487, 2019.
Article em En | MEDLINE | ID: mdl-31071158

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Traumatismos da Medula Espinal / Algoritmos / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Imageamento Tridimensional / Modelos Teóricos Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Traumatismos da Medula Espinal / Algoritmos / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Imageamento Tridimensional / Modelos Teóricos Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article