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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

Authors :
Maike Theis
Tolga Tonguc
Oleksandr Savchenko
Sebastian Nowak
Wolfgang Block
Florian Recker
Markus Essler
Alexander Mustea
Ulrike Attenberger
Milka Marinova
Alois M. Sprinkart
Source :
Insights into Imaging, Vol 14, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

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.

Details

Language :
English
ISSN :
18694101
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Insights into Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.39b4b48d98ed4b6dbc34f182d097e7b4
Document Type :
article
Full Text :
https://doi.org/10.1186/s13244-022-01342-0