Segmentation Model Evaluation
Segmentation Model Evaluation is a methodological framework within the field of data analytics that systematically assesses the performance, accuracy, and robustness of segmentation models by applying quantitative metrics and validation techniques to determine their effectiveness in partitioning data into meaningful and distinct groups.
386
Publications
25.8K
Citations
2K
Authors
804
Institutions
Publications per year
2017–2026
256
Parents
386
A survey on evaluation methods for image segmentation
Y.J. Zhang · Pattern Recognition · 1996 · 1.1K citations
Issues and Advances in Segmentation Research
Yoram Wind · Journal of Marketing Research · 1978 · 801 citations
1–5 of 386
2K
5
h-index
3
h-index
Fraunhofer Institute for Computer Graphics Research, Germany
3 publications · 93 citations
3
h-index
3
h-index
3
h-index
1–5 of 2K
804

Centre National de la Recherche Scientifique
Paris, France
12 h-index
45 publications
5.8K citations
University of Pennsylvania
Philadelphia, United States
7 h-index
22 publications
2K citations
Harvard University
Cambridge, United States
7 h-index
18 publications
13.4K citations
Tsinghua University
Beijing, China
7 h-index
22 publications
1.8K citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
13 publications
341 citations
Inserm
Paris, France
5 h-index
23 publications
4.1K citations

Johns Hopkins University
Baltimore, United States
5 h-index
19 publications
1.5K citations
University of Oxford
Oxford, United Kingdom
5 h-index
8 publications
250 citations
1–8 of 804
Repository · 15 publications · 581 citations
14
h-index
10 publications · 730 citations
10
h-index
9 publications · 473 citations
9
h-index
7 publications · 744 citations
7
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7 publications · 1.6K citations
7
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1–5