Image-based Volume Segmentation
Image-Based Volume Segmentation is a computational method that partitions three-dimensional volumetric data into meaningful regions or structures based on intensity, texture, and spatial information derived directly from acquired imaging modalities, distinguishing it from non-image-based or synthetically guided segmentation approaches.
192
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7.9K
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1K
Authors
428
Institutions
Publications per year
2017–2026
82
Parents
192
A Generic Approach to Pathological Lung Segmentation
Awais Mansoor, Ziyue Xu, Brent Foster et al. · IEEE Transactions on Medical Imaging · 2014 · 167 citations · Full text
Hierarchical, learning-based automatic liver segmentation
Haibin Ling, Shoujun Zhou, Yefeng Zheng et al. · 2008 · 141 citations
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Western University
London, Canada
8 h-index
33 publications
1.2K citations
Siemens (United States)
Princeton, United States
5 h-index
19 publications
1K citations
University of Iowa
Iowa City, United States
5 h-index
14 publications
731 citations
Inserm
Paris, France
5 h-index
12 publications
566 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
10 publications
477 citations

University of Toronto
Toronto, Canada
4 h-index
5 publications
418 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
16 publications
2.2K citations
Heidelberg University
Heidelberg, Germany
3 h-index
8 publications
373 citations
1–8 of 428
11 publications · 278 citations
10
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9 publications · 534 citations
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8 publications · 860 citations
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7 publications · 512 citations
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LNCS · Book series · 6 publications · 186 citations
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