Computer-aided Fracture Detection
Computer-Aided Fracture Detection is a computational methodology that assists in the identification and localization of bone fractures in medical imaging data by leveraging algorithmic analysis to enhance diagnostic accuracy and efficiency.
254
Publications
12.2K
Citations
1.3K
Authors
588
Institutions
Publications per year
2017–2026
181
Parents
254
Deep neural network improves fracture detection by clinicians
Robert Lindsey, Aaron Daluiski, Sumit Chopra et al. · Proceedings of the National Academy of Sciences · 2018 · 617 citations · Full text
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Atal Bihari Vajpayee Indian Institute of Information Technology and Management, India
3 publications · 77 citations
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Atal Bihari Vajpayee Indian Institute of Information Technology and Management, India
3 publications · 77 citations
3
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588
Koneru Lakshmaiah Education Foundation
Vijayawada, India
7 h-index
33 publications
722 citations
Assistance Publique – Hôpitaux de Paris
Paris, France
6 h-index
29 publications
2.2K citations
University of California, Irvine
Irvine, United States
4 h-index
4 publications
478 citations

UNSW Sydney
Sydney, Australia
4 h-index
16 publications
532 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
17 publications
1.4K citations
Stanford University
Stanford, United States
4 h-index
7 publications
862 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
4 h-index
14 publications
601 citations
University of Sheffield
Sheffield, United Kingdom
4 h-index
10 publications
222 citations
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8 publications · 261 citations
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8 publications · 357 citations
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8 publications · 571 citations
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7 publications · 664 citations
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6 publications · 122 citations
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