Pelvic floor dysfunction is common in women after childbirth and precise segmentation of
magnetic resonance images (MRI) of the pelvic floor may facilitate diagnosis and treatment …

Several diagnostic and treatment procedures require the segmentation of anatomical
structures from medical images. However, the automatic model-based methods that are …

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

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 …

Purpose We describe a public dataset with MR and CT images of patients performed in the
same position with both multiobserver and expert consensus delineations of relevant organs …

Recent research has demonstrated that improved image segmentation can be achieved by
multiple template fusion utilizing both label and intensity information. However, intensity …

Background This study investigates the variation in segmentation of several pelvic
anatomical structures on computed tomography (CT) between multiple observers and a …

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 To investigate machine segmentation of pelvic anatomy in magnetic resonance
imaging (MRI)-assisted radiosurgery (MARS) for prostate cancer using prostate …

We present a new algorithm, called local MAP STAPLE, to estimate from a set of multi-label
segmentations both a reference standard segmentation and spatially varying performance …