Threshold-based Segmentation

Threshold-Based Segmentation is a volume segmentation method that partitions volumetric data into distinct regions by applying intensity-based thresholds to distinguish foreground structures from background or other tissues.

1.2K

Publications

66.1K

Citations

4.1K

Authors

1.3K

Institutions

Publications per year

2017–2026

505

Authors

4.1K

  1. AA
    Ali Asghar Heidari

    Wenzhou University, China

    14 publications · 1.3K citations

    14

    h-index

  2. HC
    Huiling Chen

    Wenzhou University, China

    13 publications · 1.1K citations

    13

    h-index

  3. MA
    Mohamed Abd Elaziz

    Zagazig University, Egypt

    10 publications · 1.2K citations

    10

    h-index

  4. DO
    Diego Oliva

    Universidad de Guadalajara, Mexico

    8 publications · 893 citations

    8

    h-index

  5. LA
    Laith Abualigah

    Universiti Sains Malaysia, Malaysia

    7 publications · 444 citations

    7

    h-index

1–5 of 4.1K

Venues

  1. Expert Systems with Applications

    30 publications · 4.1K citations

    25

    h-index

  2. IEEE Access

    32 publications · 1.7K citations

    22

    h-index

  3. Multimedia Tools and Applications

    19 publications · 781 citations

    16

    h-index

  4. Applied Soft Computing

    15 publications · 910 citations

    15

    h-index

  5. 15

    h-index

1–5