Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes

Ítems similars

• Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
  per: Kim, Jun Pyo, et al.
  Publicat: (2019)
• Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
  per: Kim, Jun Pyo, et al.
  Publicat: (2020)
• Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments
  per: Cho, Soo Hyun, et al.
  Publicat: (2020)
• Appropriate reference region selection of (18)F-florbetaben and (18)F-flutemetamol beta-amyloid PET expressed in Centiloid
  per: Cho, Soo Hyun, et al.
  Publicat: (2020)
• Author Correction: Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments
  per: Cho, Soo Hyun, et al.
  Publicat: (2021)