Segmentation-based Quantification
Segmentation-Based Quantification is a methodological framework in medical imaging and computer vision that uses image segmentation to delineate regions of interest, enabling the precise measurement and analysis of morphological or functional properties within those segmented structures.
131
Publications
6.1K
Citations
625
Authors
293
Institutions
Publications per year
2017–2026
50
Parents
131
Grigore Pintilie, Junjie Zhang, Thomas D. Goddard et al. · Journal of Structural Biology · 2010 · 422 citations · Full text
Automated layer segmentation of macular OCT images using dual-scale gradient information
Qi Yang, Charles Reisman, Zhenguo Wang et al. · Optics Express · 2010 · 292 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
7 h-index
28 publications
825 citations
Inserm
Paris, France
4 h-index
14 publications
300 citations
Shenyang Institute of Automation
Shenyang, China
3 h-index
4 publications
183 citations

Western University
London, Canada
3 h-index
7 publications
190 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
282 citations

McGill University
Montreal, Canada
3 h-index
6 publications
421 citations
Massachusetts General Hospital
Boston, United States
3 h-index
7 publications
433 citations
National Institutes of Health
Bethesda, United States
2 h-index
10 publications
885 citations
1–8 of 293
8 publications · 305 citations
8
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6 publications · 417 citations
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4 publications · 351 citations
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3 publications · 150 citations
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3 publications · 57 citations
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