Computer-aided Fracture Detection

Computer-Aided Fracture Detection is a computational methodology that assists in the identification and localization of bone fractures in medical imaging data by leveraging algorithmic analysis to enhance diagnostic accuracy and efficiency.

254

Publications

12.2K

Citations

1.3K

Authors

588

Institutions

Publications per year

2017–2026

181

Authors

1.3K

  1. CZ
    CMAK Zeelan Basha

    Koneru Lakshmaiah Education Foundation, India

    8 publications · 188 citations

    8

    h-index

  2. TT
    Tony T. Wong

    Columbia University Irving Medical Center, United States

    3 publications · 177 citations

    3

    h-index

  3. BV
    Bram van Ginneken

    Radboud University Nijmegen, Netherlands

    3 publications · 121 citations

    3

    h-index

  4. SW
    Sulochana Wadhwani

    Atal Bihari Vajpayee Indian Institute of Information Technology and Management, India

    3 publications · 77 citations

    3

    h-index

  5. RB
    Rinisha Bagaria

    Atal Bihari Vajpayee Indian Institute of Information Technology and Management, India

    3 publications · 77 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Bone

    8 publications · 261 citations

    8

    h-index

  2. Journal of Digital Imaging

    8 publications · 357 citations

    8

    h-index

  3. Skeletal Radiology

    8 publications · 571 citations

    8

    h-index

  4. European Radiology

    7 publications · 664 citations

    7

    h-index

  5. Osteoporosis International

    6 publications · 122 citations

    6

    h-index

1–5