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, cilt.171, sa.1, ss.371-381, 2025 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 171 Sayı: 1
• Basım Tarihi: 2025
• Doi Numarası: 10.1002/ijgo.70159
• Dergi Adı: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, CINAHL, EMBASE, Gender Studies Database, Public Affairs Index
• Sayfa Sayıları: ss.371-381
• Anahtar Kelimeler: dysmenorrhea, endometrioma, machine learning, predictive modeling, shear wave elastography
• Ankara Üniversitesi Adresli: Evet