Automated Bone Segmentation
Automated Bone Segmentation is a computational method in medical image analysis that identifies and delineates periodontal bone structures from imaging data without manual intervention, distinguishing itself by its reliance on algorithmic processing to achieve accurate and efficient bone boundary detection in contrast to traditional manual or semi-automated techniques.
370
Publications
15.6K
Citations
1.6K
Authors
622
Institutions
Publications per year
2017–2026
166
Parents
370
Deep learning for automated skeletal bone age assessment in X-ray images
Concetto Spampinato, Simone Palazzo, Daniela Giordano et al. · Medical Image Analysis · 2016 · 422 citations · Full text
Felix Ambellan, Alexander Tack, Moritz Ehlke et al. · Medical Image Analysis · 2018 · 375 citations
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University of North Carolina at Chapel Hill, United States
7 publications · 682 citations
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622
University of Bern
Bern, Switzerland
10 h-index
41 publications
1.4K citations

Johns Hopkins University
Baltimore, United States
9 h-index
39 publications
1.3K citations

Peking University
Beijing, China
9 h-index
38 publications
1.4K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
9 h-index
23 publications
750 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
8 h-index
32 publications
1.7K citations
University of Iowa
Iowa City, United States
8 h-index
42 publications
1K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
22 publications
552 citations

The University of Queensland
Brisbane, Australia
8 h-index
21 publications
728 citations
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IJCARS · 18 publications · 696 citations
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LNCS · Book series · 14 publications · 592 citations
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12 publications · 1.5K citations
12
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11 publications · 459 citations
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10 publications · 236 citations
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