Deep learning enables automatic quantitative assessment of the puborectalis muscle and the urogenital hiatus in the plane of minimal hiatal dimensions

ConclusionDeep learning can be used to automatically and reliably segment the PRM and UH in 2D, in the plane of minimal hiatal dimensions, of the nulliparous female pelvic floor. These segmentations can be used to reliably measure the parameters; hiatal dimensions, PRM length and MEP.This article is protected by copyright. All rights reserved.

Source: Ultrasound in Obstetrics and Gynecology - November 21, 2018 Category: Radiology Authors: F. van den Noort, C. H. van der Vaart, A. T. M. Grob, M. K. van de Waarsenburg, C.H. Slump, M. van Stralen Tags: Original Paper Source Type: research