Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy
oleh: 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 |
|---|---|
| Diterbitkan: | SpringerOpen 2023-01-01 |
Deskripsi
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.