Combination of Radiological and Gray Level Co-occurrence Matrix Textural Features Used to Distinguish Solitary Pulmonary Nodules by Computed Tomography

Lignende værker

• Improving electrical resistivity tomography interpretation with Gray Level Co-Occurrence Matrix textural attributes
  af: John McKnight, et al.
  Udgivet: (2025-08-01)
• THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES
  af: Shirvaikar, Mukul, et al.
  Udgivet: (2016)
• Contourlet Textual Features: Improving the Diagnosis of Solitary Pulmonary Nodules in Two Dimensional CT Images
  af: Wang, Jingjing, et al.
  Udgivet: (2014)
• Optimization of Gray Level Co-occurrence Matrix (GLCM) Texture Feature Parameters in Determining Rice Seed Quality
  af: Aji Setiawan, et al.
  Udgivet: (2025-06-01)
• Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules
  af: Chen, Song, et al.
  Udgivet: (2019)