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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.

Uloženo v:
Hlavní autoři: Maike Theis, Tolga Tonguc, Oleksandr Savchenko, Sebastian Nowak, Wolfgang Block, Florian Recker, Markus Essler, Alexander Mustea, Ulrike Attenberger, Milka Marinova, Alois M. Sprinkart
Médium: Artigo
Jazyk:Inglês
Vydáno: SpringerOpen 2023-01-01
Edice:Insights into Imaging
Témata:
Deep learning
Magnetic resonance imaging
Uterus
Leiomyoma
On-line přístup:https://doi.org/10.1186/s13244-022-01342-0
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