Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network
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 …
are of importance for pelvic floor disorder assessment. We present a fully automatic method …
Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples
Z Ju, Q Wu, W Yang, S Gu, W Guo, J Wang, R Ge… - Acta …, 2020 - Taylor & Francis
Background: Efficient and accurate methods are needed to automatically segmenting
organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment …
organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment …
Robust statistical label fusion through consensus level, labeler accuracy, and truth estimation (COLLATE)
AJ Asman, BA Landman - IEEE transactions on medical …, 2011 - ieeexplore.ieee.org
Segmentation and delineation of structures of interest in medical images is paramount to
quantifying and characterizing structural, morphological, and functional correlations with …
quantifying and characterizing structural, morphological, and functional correlations with …
Comprehensive review of 3D segmentation software tools for MRI usable for pelvic surgery planning
A Virzì, CO Muller, JB Marret, E Mille, L Berteloot… - Journal of digital …, 2020 - Springer
Patient-specific 3D modeling is the first step towards image-guided surgery, the actual
revolution in surgical care. Pediatric and adolescent patients with rare tumors and …
revolution in surgical care. Pediatric and adolescent patients with rare tumors and …
Measurements from image‐based three dimensional pelvic floor reconstruction: A study of inter‐and intraobserver reliability
L Hoyte, L Brubaker, JR Fielding… - Journal of Magnetic …, 2009 - Wiley Online Library
Purpose To describe inter‐and intraobserver reliability of 3D measurements of female pelvic
floor structures. Materials and Methods Twenty reconstructed MR datasets of primiparas at 6 …
floor structures. Materials and Methods Twenty reconstructed MR datasets of primiparas at 6 …
Female pelvic synthetic CT generation based on joint intensity and shape analysis
Using MRI for radiotherapy treatment planning and image guidance is appealing as it
provides superior soft tissue information over CT scans and avoids possible systematic …
provides superior soft tissue information over CT scans and avoids possible systematic …
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models
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 …
diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone …
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image
Nerve damage of spine areas is a common cause of disability and paralysis. The
lumbosacral plexus segmentation from magnetic resonance imaging (MRI) scans plays an …
lumbosacral plexus segmentation from magnetic resonance imaging (MRI) scans plays an …
[HTML][HTML] Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Morphological abnormalities of the femoroacetabular (hip) joint are among the most
common human musculoskeletal disorders and often develop asymptomatically at early …
common human musculoskeletal disorders and often develop asymptomatically at early …
A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With 18 F-FDG PET/CT
As positron-emission tomography (PET) images have low spatial resolution and much noise,
accurate image segmentation is one of the most challenging issues in tumor quantification …
accurate image segmentation is one of the most challenging issues in tumor quantification …