Multi-label Thoracic Finding Classification

Multi-Label Thoracic Finding Classification is a computational task in medical image analysis that involves assigning multiple diagnostic labels to a single chest X-ray image to identify the simultaneous presence of various thoracic abnormalities.

33

Publications

6.4K

Citations

164

Authors

89

Institutions

Publications per year

2017–2026

33

Authors

164

  1. MD
    María de la Iglesia-Vayá

    Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, Spain

    2 publications · 705 citations

    2

    h-index

  2. TB
    Tommaso Banzato

    University of Padua, Italy

    2 publications · 87 citations

    2

    h-index

  3. JL
    Jinxing Li

    Harbin Institute of Technology, China

    2 publications · 182 citations

    2

    h-index

  4. MW
    Marek Wodziński

    AGH University of Krakow, Poland

    2 publications · 87 citations

    2

    h-index

  5. HH
    Hieu H. Pham

    VinUniversity, Vietnam

    2 publications · 64 citations

    2

    h-index

1–5 of 164

Venues

  1. Medical Image Analysis

    4 publications · 942 citations

    4

    h-index

  2. Computers in Biology and Medicine

    3 publications · 256 citations

    3

    h-index

  3. Biomedical Signal Processing and Control

    2 publications · 117 citations

    2

    h-index

  4. Pattern Recognition Letters

    2 publications · 276 citations

    2

    h-index

  5. Artificial Intelligence in Medicine

    AIM · 1 publications · 20 citations

    1

    h-index

1–5