OP13.02: Deep learning for automated assessment of MUSA‐related adenomyosis features on 2D transvaginal ultrasound

May Levin, M. Levin, M. Vali, S. Weiss, S. Vali, M. Thüm, M. Thum, P. Lio, S. Johnson
In: Ultrasound in Obstetrics & Gynecology · 2026 · vol. 68(S1) , pp. 77 · doi:10.1002/uog.70305_197 · PMID:42672617 · W7204800706
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This research developed a deep learning model to automatically assess adenomyosis features related to the MUSA classification system using 2D transvaginal ultrasound images.

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