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

Authors

706

  1. JC
    Jeon‐Hor Chen

    University of California, Irvine, United States

    15 publications · 644 citations

    13

    h-index

  2. MS
    Min‐Ying Su

    University of California, Irvine, United States

    14 publications · 625 citations

    12

    h-index

  3. SC
    Si‐Wa Chan

    University of California, Irvine, United States

    9 publications · 463 citations

    9

    h-index

  4. ON
    Orhan Nalcioğlu

    University of California, Irvine, United States

    7 publications · 423 citations

    7

    h-index

  5. RC
    Ruey‐Feng Chang

    National Taiwan University, Taiwan

    6 publications · 119 citations

    6

    h-index

1–5 of 706

Venues

  1. Medical Physics

    23 publications · 1.6K citations

    19

    h-index

  2. Journal of Digital Imaging

    9 publications · 293 citations

    9

    h-index

  3. Physics in Medicine and Biology

    6 publications · 453 citations

    6

    h-index

  4. Computer Methods and Programs in Biomedicine

    5 publications · 310 citations

    5

    h-index

  5. Academic Radiology

    5 publications · 153 citations

    5

    h-index

1–5