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
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164
Authors
89
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2017–2026
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PadChest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, José María Salinas et al. · Medical Image Analysis · 2020 · 674 citations · Full text
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Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, Spain
2 publications · 705 citations
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Harbin Institute of Technology
Harbin, China
3 h-index
9 publications
664 citations
Stanford University
Stanford, United States
2 h-index
2 publications
230 citations
National Center for Biotechnology Information
Bethesda, United States
2 h-index
3 publications
6.7K citations
AGH University of Krakow
Krakow, Poland
2 h-index
2 publications
87 citations
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana
Valencia, Spain
2 h-index
2 publications
705 citations

Shenzhen Institute of Information Technology
Shenzhen, China
2 h-index
6 publications
364 citations
VinUniversity
Hanoi, Vietnam
2 h-index
2 publications
64 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
2 h-index
3 publications
264 citations
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4 publications · 942 citations
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3 publications · 256 citations
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2 publications · 117 citations
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2 publications · 276 citations
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AIM · 1 publications · 20 citations
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