Breast Density Segmentation
Breast Density Segmentation is a computational imaging method that delineates fibroglandular tissue regions within mammographic images to quantify breast density, distinguishing itself from other segmentation techniques by specifically targeting tissue types relevant to cancer risk assessment.
153
Publications
7K
Citations
706
Authors
303
Institutions
Publications per year
2017–2026
48
Parents
153
Brad M. Keller, D. Nathan, Yan Wang et al. · Medical Physics · 2012 · 215 citations · Full text
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
Mehmet Ufuk Dalmış, Geert Litjens, Katharina Holland et al. · Medical Physics · 2016 · 212 citations · Full text
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University of California, Irvine
Irvine, United States
15 h-index
88 publications
4K citations

China Medical University
Taichung, Taiwan
9 h-index
27 publications
1.4K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
9 h-index
26 publications
3.5K citations
I-Shou University
Kaohsiung City, Taiwan
9 h-index
9 publications
238 citations
China Medical University Hospital
Taichung, Taiwan
8 h-index
22 publications
1.3K citations
E-Da Hospital
Kaohsiung City, Taiwan
7 h-index
7 publications
200 citations

Radboud University Medical Center
Nijmegen, The Netherlands
7 h-index
24 publications
3.2K citations
University of Pennsylvania
Philadelphia, United States
6 h-index
29 publications
2.6K citations
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23 publications · 1.6K citations
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9 publications · 293 citations
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6 publications · 453 citations
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5 publications · 310 citations
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5 publications · 153 citations
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