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

Maike TheisTolga TongucOleksandr SavchenkoSebastian NowakWolfgang BlockFlorian ReckerMarkus EsslerAlexander MusteaUlrike AttenbergerMilka MarinovaAlois M Sprinkart

Published in: Insights into imaging (2023)

This study presents a method for automatic uterus segmentation which allows a fast and consistent assessment of uterine volume. Therefore, this method could be used in the clinical setting for objective assessment of therapeutic response to HIFU therapy.

Keyphrases

deep learning
high intensity
convolutional neural network
artificial intelligence
machine learning
resistance training
magnetic resonance imaging
computed tomography
magnetic resonance
pregnant women
body composition
bone marrow
single cell
pregnancy outcomes
cell therapy