Sequential Backward Selection is a feature selection method that iteratively removes the least relevant feature from the current set of features based on a performance metric, starting with the full set of features, until an optimal subset is identified.
209
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10K
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935
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451
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Publications per year
2017–2026
96
Parents
Publications
209
Active shape model segmentation with optimal features
Bram van Ginneken, Alejandro F. Frangi, Joes Staal et al. · IEEE Transactions on Medical Imaging · 2002 · 525 citations
Development and validation of the Nancy histological index for UC
Aude Marchal-Bressenot, Julia Salleron, Camille Boulagnon‐Rombi et al. · Gut · 2015 · 475 citations
1–5 of 209
Authors
935
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5
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3
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- TK
3
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1–5 of 935
Institutions
451
Radboud University Medical Center
Nijmegen, The Netherlands
5 h-index
15 publications
924 citations
Radboud University Nijmegen
Nijmegen, The Netherlands
5 h-index
17 publications
1K citations
Southwest University
Chongqing, China
5 h-index
21 publications
995 citations
University Medical Center Utrecht
Utrecht, The Netherlands
4 h-index
17 publications
1.9K citations
Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
738 citations
Yokohama City University
Yokohama, Japan
3 h-index
14 publications
222 citations
Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
13 publications
586 citations
Amsterdam University Medical Centers
Amsterdam, The Netherlands
3 h-index
22 publications
466 citations
1–8 of 451
Venues
- Sensors
5 publications · 150 citations
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- PLoS ONE
4 publications · 95 citations
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- Computational and Mathematical Methods in Medicine
4 publications · 139 citations
4
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- Procedia Computer Science
4 publications · 281 citations
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- BMC Bioinformatics
3 publications · 213 citations
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1–5