Sonographic Pattern Recognition

Sonographic Pattern Recognition is a methodological framework in medical imaging that enables the systematic identification and classification of ovarian cysts through characteristic ultrasonographic features, distinguishing it from general diagnostic approaches by its reliance on standardized morphological and Doppler criteria to facilitate non-invasive differential diagnosis.

37

Publications

1.6K

Citations

149

Authors

69

Institutions

Publications per year

2017–2026

8

Authors

149

  1. LV
    L. Valentin

    Lund University, Sweden

    4 publications · 490 citations

    4

    h-index

  2. DT
    D. Timmerman

    KU Leuven, Belgium

    3 publications · 311 citations

    3

    h-index

  3. DJ
    D. Jurkovic

    University College London, United Kingdom

    3 publications · 288 citations

    3

    h-index

  4. AC
    A. C. Testa

    Università Cattolica del Sacro Cuore, Italy

    3 publications · 311 citations

    3

    h-index

  5. TH
    Tom Holland

    University College London, United Kingdom

    2 publications · 98 citations

    2

    h-index

1–5 of 149

Venues

  1. Ultrasound in Obstetrics and Gynecology

    5 publications · 561 citations

    5

    h-index

  2. Journal of Ultrasound in Medicine

    JUM · 3 publications · 55 citations

    3

    h-index

  3. Journal of Clinical Ultrasound

    JCU · 2 publications · 56 citations

    2

    h-index

  4. Pediatric Radiology

    2 publications · 62 citations

    2

    h-index

  5. Radiology

    2 publications · 169 citations

    2

    h-index

1–5