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
37
Sonographic patterns of ovarian tumors: prediction of malignancy.
U. Herrmann, Gottfried W. Locher, Aron Goldhirsch · PubMed · 1987 · 181 citations
Medicine, Gynecology, Oncology +17
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Lund University
Lund, Sweden
4 h-index
5 publications
584 citations
KU Leuven
Leuven, Belgium
3 h-index
6 publications
555 citations

Università Cattolica del Sacro Cuore
Milan, Italy
3 h-index
3 publications
311 citations
King's College Hospital
London, United Kingdom
3 h-index
8 publications
599 citations

Malmö University
Malmo, Sweden
2 h-index
3 publications
378 citations

Shenzhen University
Shenzhen, China
1 h-index
10 publications
170 citations
AAA College of Engineering and Technology
Sivakasi, India
1 h-index
1 publications
21 citations
Hospital Universitario Dexeus
Barcelona, Spain
1 h-index
1 publications
25 citations
1–8 of 69
5 publications · 561 citations
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JUM · 3 publications · 55 citations
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JCU · 2 publications · 56 citations
2
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2 publications · 62 citations
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2 publications · 169 citations
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1–5