Adapting an existing convolutional neural network architecture to a specific dataset for
medical image segmentation remains a challenging task that requires extensive expertise …

This paper discusses using computer-aided diagnosis (CAD) to distinguish between
hepatocellular carcinoma (HCC), ie, the most common type of primary liver malignancy and …

In pelvic organ prolapse (POP), the organs are pushed downward along the lines of gravity,
so measurements along this longitudinal body axis are desirable. We propose a universally …

(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 …

The female pelvic floor (PF) muscles provide support to the pelvic organs. During delivery,
some of these muscles have to stretch up to three times their original length to allow …

A method is presented to automatically track and segment pelvic organs on dynamic
magnetic resonance imaging (MRI) followed by multiple-object trajectory classification to …

Introduction and hypothesis The objective of this study was to assess the performance of a
semiautomated pelvic floor measurement algorithmic model on dynamic magnetic …

Introduction and hypothesis Magnetic resonance imaging (MRI) plays an important role in
assessing pelvic organ prolapse (POP), and automated pelvic floor landmark localization …

The automatic extraction of the vertebra's shape from dynamic magnetic resonance imaging
(MRI) could improve understanding of clinical conditions and their diagnosis. It is …

In this paper, we present a fully automated localization method for multiple pelvic bone
structures on magnetic resonance images (MRI). Pelvic bone structures are at present …