Automatic identification and segmentation of the slice of minimal hiatal dimensions in transperineal ultrasound volumes

CONCLUSIONS: Our deep learning algorithms allow for reliable automatic selection and segmentation of the SMHD in TPUS volumes of women with symptomatic POP. These algorithms can be implemented in the software of TPUS machines, thus reducing clinical analysis time and easing the examination of TPUS data for research or clinical purposes. This article is protected by copyright. All rights reserved.PMID:34767663 | DOI:10.1002/uog.24810

Source: The Ultrasound Review of Obstetrics and Gynecology - November 12, 2021 Category: Radiology Authors: F van den Noort C Manzini C H van der Vaart M A J van Limbeek C H Slump A T M Grob Source Type: research