Quantitative Pathology Visualization

Quantitative Pathology Visualization is a methodological framework within pathology visualization that transforms histopathological data into visual representations enriched with measurable, numerical annotations derived from image analysis to enable objective, data-driven interpretation of tissue morphology and biomarker expression.

6

Publications

694

Citations

39

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

39

  1. DR
    Deepak R. Chittajallu

    University of Houston, United States

    1 publications · 193 citations

    1

    h-index

  2. TS
    Tetsuya Suhara

    National Institutes for Quantum Science and Technology, Japan

    1 publications · 110 citations

    1

    h-index

  3. JP
    Jan P. A. Baak

    Stavanger University Hospital, Norway

    1 publications · 19 citations

    1

    h-index

  4. DM
    David Manthey

    Kitware (United States), United States

    1 publications · 193 citations

    1

    h-index

  5. CS
    Chie Seki

    National Institutes for Quantum Science and Technology, Japan

    1 publications · 110 citations

    1

    h-index

1–5 of 39

Venues

  1. Journal of Nuclear Medicine

    1 publications · 110 citations

    1

    h-index

  2. Acta Neuropathologica

    1 publications · 102 citations

    1

    h-index

  3. Pathology - Research and Practice

    1 publications · 19 citations

    1

    h-index

  4. Human Pathology

    1 publications · 35 citations

    1

    h-index

  5. Modern Pathology

    1 publications · 235 citations

    1

    h-index

1–5