Shear wave elastography values in endometrioma: Clinical findings and machine learning-based prediction models.

Zorlu U., Yılmazer-Zorlu S. N., Halilzade İ., Turgay B., Ünsal M.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, vol.171, no.1, pp.371-381, 2025 (SCI-Expanded, Scopus)

• Publication Type: Article / Article
• Volume: 171 Issue: 1
• Publication Date: 2025
• Doi Number: 10.1002/ijgo.70159
• Journal Name: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, CINAHL, EMBASE, Gender Studies Database, Public Affairs Index
• Page Numbers: pp.371-381
• Keywords: dysmenorrhea, endometrioma, machine learning, predictive modeling, shear wave elastography
• Ankara University Affiliated: Yes