The anatomies of pelvic structures are critical for the diagnosis of pelvic floor dysfunctions.
However, because of the complex background, the imaging appearances of pelvic organs …

Purpose To automatically segment and measure the levator hiatus with a deep learning
approach and evaluate the performance between algorithms, sonographers, and different …

Accurate segmentation of pelvic organs from magnetic resonance (MR) images plays an
important role in image-guided radiotherapy. However, it is a challenging task due to …

Purpose Brachytherapy combined with external beam radiotherapy (EBRT) is the standard
treatment for cervical cancer and has been shown to improve overall survival rates …

Segmentation of the levator hiatus in ultrasound allows the extraction of biometrics, which
are of importance for pelvic floor disorder assessment. We present a fully automatic method …

To develop an anatomically based customizable finite-element (FE) model of the pelvic floor
support system to simulate pelvic organ prolapse (POP): POP-SIM1. 0. This new simulation …

Sufficient data with complete annotation is essential for training deep models to perform
automatic and accurate segmentation of CT male pelvic organs, especially when such data …

Purpose: Pelvic bone segmentation in CT has always been an essential step in clinical
diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone …

Background and purpose Manual contouring is labor intensive, and subject to variations in
operator knowledge, experience and technique. This work aims to develop an automated …

The segmentation of pelvic structures in magnetic resonance (MR) images of the female
pelvic cavity is a challenging task. This paper proposes the use of three novel geometric …