Image-based automated measurement model to predict pelvic organ prolapse

S Onal, SK Lai-Yuen, P Bao, A Weitzenfeld… - US Patent …, 2020 - Google Patents
(57) ABSTRACT A system and methodology for the automated localization, extraction, and
analysis of MRI-based features with clinical information to improve the diagnosis of pelvic …

MRI-based segmentation of pubic bone for evaluation of pelvic organ prolapse

S Onal, SK Lai-Yuen, P Bao… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
Pelvic organ prolapse (POP) is a major women's health problem. Its diagnosis through
magnetic resonance imaging (MRI) has become popular due to current inaccuracies of …

Accuracy and Reliability of Pelvimetry Measures Obtained by Manual or Automatic Labeling of Three-Dimensional Pelvic Models

J Hêches, S Marcadent, A Fernandez… - Journal of Clinical …, 2024 - mdpi.com
(1) Background: The morphology of the pelvic cavity is important for decision-making in
obstetrics. This study aimed to estimate the accuracy and reliability of pelvimetry measures …

Assessment of a semiautomated pelvic floor measurement model for evaluating pelvic organ prolapse on MRI

S Onal, S Lai-Yuen, P Bao, A Weitzenfeld… - International …, 2014 - Springer
Introduction and hypothesis The objective of this study was to assess the performance of a
semiautomated pelvic floor measurement algorithmic model on dynamic magnetic …

[图书][B] Automated Localization and Segmentation of Pelvic Floor Structures on MRI to Predict Pelvic Organ Prolapse

S Onal - 2014 - search.proquest.com
Pelvic organ prolapse (POP) is a major health problem that affects women. POP is a
herniation of the female pelvic floor organs (bladder, uterus, small bowel, and rectum) into …