Tissue Feature Detection

Tissue Feature Detection is a computational method in biomedical image analysis that identifies and localizes specific structural or functional characteristics within biological tissues by leveraging distinctive morphological, textural, or molecular patterns unique to tissue-level organization.

114

Publications

6.1K

Citations

450

Authors

226

Institutions

Publications per year

2017–2026

35

Authors

450

  1. SH
    Scott H. Randell

    University of North Carolina at Chapel Hill, United States

    2 publications · 128 citations

    2

    h-index

  2. BY
    Bülent Yener

    Rensselaer Polytechnic Institute, United States

    2 publications · 69 citations

    2

    h-index

  3. LR
    L. Rodney Long

    United States National Library of Medicine, United States

    2 publications · 25 citations

    2

    h-index

  4. RS
    Raja S. Alomari

    University at Buffalo, State University of New York, United States

    2 publications · 28 citations

    2

    h-index

  5. GR
    George R. Thoma

    United States National Library of Medicine, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 450

Venues

  1. IEEE Transactions on Medical Imaging

    5 publications · 229 citations

    5

    h-index

  2. IEEE Transactions on Biomedical Engineering

    5 publications · 192 citations

    5

    h-index

  3. Medical Image Analysis

    4 publications · 201 citations

    4

    h-index

  4. 3

    h-index

  5. BMC Medical Imaging

    3 publications · 84 citations

    3

    h-index

1–5