Prognostic Classification of Early Ovarian Cancer Based on very Low Dimensionality Adaptive Texture Feature Vectors from Cell Nuclei from Monolayers and Histological Sections

Lignende værker

• The Use of Fractal Features from the Periphery of Cell Nuclei as a Classification Tool
  af: Nielsen, Birgitte, et al.
  Udgivet: (1999)
• The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer
  af: Nielsen, Birgitte, et al.
  Udgivet: (2012)
• Prognostic Value of Adaptive Textural Features–The Effect of Standardizing Nuclear First-Order Gray Level Statistics and Mixing Information from Nuclei Having Different Area
  af: Nielsen, Birgitte, et al.
  Udgivet: (2006)
• Entropy-Based Adaptive Nuclear Texture Features are Independent Prognostic Markers in a Total Population of Uterine Sarcomas
  af: Nielsen, Birgitte, et al.
  Udgivet: (2015)
• Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers
  af: Nielsen, Birgitte, et al.
  Udgivet: (2018)