Benign Tumor Classification

Benign Tumor Classification is a computational framework in medical image analysis that specifically distinguishes non-cancerous neoplastic growths from malignant or normal tissues through pattern recognition and feature extraction in histopathological or radiological data.

707

Publications

32.7K

Citations

2.9K

Authors

1K

Institutions

Publications per year

2017–2026

277

Authors

2.9K

  1. MO
    Martin O’Halloran

    Ollscoil na Gaillimhe – University of Galway, Ireland

    5 publications · 159 citations

    5

    h-index

  2. RC
    Raquel C. Conceição

    University of Lisbon, Portugal

    5 publications · 159 citations

    5

    h-index

  3. SS
    S. S. Kumar

    Noorul Islam University, India

    3 publications · 90 citations

    4

    h-index

  4. AK
    Ashwini Kodipalli

    Global Academy of Technology

    3 publications · 169 citations

    4

    h-index

  5. WP
    Wellington Pinheiro dos Santos

    Universidade Federal de Pernambuco, Brazil

    4 publications · 156 citations

    4

    h-index

1–5 of 2.9K

Venues

  1. PubMed

    Repository · 46 publications · 1.4K citations

    19

    h-index

  2. The American Journal of Surgical Pathology

    15 publications · 2.4K citations

    14

    h-index

  3. Archives of Dermatology

    10 publications · 816 citations

    10

    h-index

  4. Cancer

    10 publications · 1K citations

    10

    h-index

  5. European Radiology

    7 publications · 507 citations

    8

    h-index

1–5