Digital Pathology Visualization

Digital Pathology Visualization is a computational framework that enables the visual interpretation and analysis of digitized histological and pathological tissue specimens through integrated imaging and data representation techniques, distinguishing it from broader pathology visualization methods by its reliance on digital whole-slide imaging and specialized software infrastructure for remote, scalable, and quantitative morphological assessment.

78

Publications

5.6K

Citations

418

Authors

190

Institutions

Publications per year

2017–2026

31

Authors

418

  1. AV
    Anil V. Parwani

    University of Pittsburgh Medical Center, United States

    7 publications · 1.7K citations

    7

    h-index

  2. LP
    Liron Pantanowitz

    University of Pittsburgh Medical Center, United States

    6 publications · 1K citations

    6

    h-index

  3. YY
    Yukako Yagi

    Massachusetts General Hospital, United States

    6 publications · 805 citations

    6

    h-index

  4. DT
    Darren Treanor

    University of Leeds, United Kingdom

    5 publications · 147 citations

    5

    h-index

  5. GB
    Gloria Bueno

    University of Castilla-La Mancha, Spain

    3 publications · 89 citations

    3

    h-index

1–5 of 418

Venues

  1. Human Pathology

    7 publications · 996 citations

    7

    h-index

  2. Journal of Pathology Informatics

    8 publications · 372 citations

    7

    h-index

  3. Journal of Digital Imaging

    5 publications · 198 citations

    5

    h-index

  4. PubMed

    Repository · 4 publications · 76 citations

    4

    h-index

  5. Archives of Pathology & Laboratory Medicine

    4 publications · 647 citations

    4

    h-index

1–5