Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy

Key points Deep learning methods enable accurate segmentation of the uterus in T2-weighted MRI. Automatic uterine volumetry is possible in patients with and without leiomyomas. Automated volumetry enables an objective assessment of response to high-intensity focused ultrasound therapy.

Bibliographic Details

Published in:	Insights into Imaging
Main Authors:	Maike Theis, Tolga Tonguc, Oleksandr Savchenko, Sebastian Nowak, Wolfgang Block, Florian Recker, Markus Essler, Alexander Mustea, Ulrike Attenberger, Milka Marinova, Alois M. Sprinkart
Format:	Article
Language:	English
Published:	SpringerOpen 2023-01-01
Subjects:	Deep learning Magnetic resonance imaging Uterus Leiomyoma
Online Access:	https://doi.org/10.1186/s13244-022-01342-0