Segmentation Refinement
Segmentation Refinement is a methodological process in volume segmentation that iteratively improves the accuracy and coherence of initial segmentation results by reducing noise, correcting boundary inaccuracies, and resolving topological errors through localized adjustments guided by domain-specific constraints or learned priors.
175
Publications
9.5K
Citations
662
Authors
272
Institutions
Publications per year
2017–2026
108
Parents
175
Boundary-aware context neural network for medical image segmentation
Ruxin Wang, Shu‐Yuan Chen, Chaojie Ji et al. · Medical Image Analysis · 2022 · 231 citations · Full text
1–5 of 175
662
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University of Electronic Science and Technology of China, China
4 publications · 277 citations
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3
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3
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3
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1–5 of 662
272
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
18 publications
1.1K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
7 publications
289 citations
University College London
London, United Kingdom
4 h-index
12 publications
4.7K citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
8 publications
242 citations

South China University of Technology
Guangzhou, China
4 h-index
12 publications
335 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
7 publications
407 citations

Johns Hopkins University
Baltimore, United States
4 h-index
5 publications
255 citations
Siemens (United States)
Princeton, United States
4 h-index
8 publications
243 citations
1–8 of 272
6 publications · 197 citations
8
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7 publications · 613 citations
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Repository · 7 publications · 174 citations
7
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7 publications · 522 citations
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6 publications · 156 citations
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