Computed Tomography Texture Analysis

Computed Tomography Texture Analysis is a quantitative image processing technique that belongs to the category of radiomic methods, distinguished by its application of mathematical algorithms to extract and analyze spatial patterns of pixel intensities in high-resolution computed tomography scans for characterizing pulmonary parenchymal heterogeneity in interstitial lung disease.

461

Publications

26.1K

Citations

2.3K

Authors

835

Institutions

Publications per year

2017–2026

251

Variants

Ct Texture AnalysisCtta

Authors

2.3K

  1. BG
    Balaji Ganeshan

    University College London, United Kingdom

    20 publications · 3.3K citations

    17

    h-index

  2. DA
    David A. Lynch

    University of Colorado Denver, United States

    10 publications · 755 citations

    10

    h-index

  3. EA
    Eric A. Hoffman

    University of Iowa, United States

    10 publications · 1.2K citations

    10

    h-index

  4. KA
    Kenneth A. Miles

    Brighton and Sussex Medical School, United Kingdom

    10 publications · 2.7K citations

    10

    h-index

  5. AD
    Adrien Depeursinge

    HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland

    10 publications · 431 citations

    10

    h-index

1–5 of 2.3K

Venues

  1. Medical Physics

    20 publications · 2K citations

    19

    h-index

  2. European Radiology

    18 publications · 1.7K citations

    18

    h-index

  3. Scientific Reports

    16 publications · 875 citations

    15

    h-index

  4. European Journal of Radiology

    EJR · 14 publications · 615 citations

    13

    h-index

  5. PLoS ONE

    13 publications · 554 citations

    13

    h-index

1–5