We describe a novel method to segment the bladder wall in magnetic resonance imaging
(MRI) to support the detection of disease, such as endometriosis, and for surgical planning …

Active shape models (ASMs) and active appearance models (AAMs) are popular
approaches for medical image segmentation that use shape information to drive the …

Characterizing the performance of image segmentation approaches has been a persistent
challenge. Performance analysis is important since segmentation algorithms often have …

This paper presents extensions which improve the performance of the shape-based
deformable active contour model presented earlier in [9]. In contrast to that work, the …

The delineation of the prostate and organs-at-risk (OARs) is fundamental to prostate
radiation treatment planning, but is currently labor-intensive and observer-dependent. We …

We propose a fully automated method for prostate segmentation using random forests (RFs)
and graph cuts. A volume of interest (VOI) is automatically selected using supervoxel …

Purpose: To describe the inter‐and intra‐operator reliability of segmentations of female
pelvic floor structures. Materials and Methods: Three segmentation specialists were asked to …

Abstract Background Medical Image segmentation is an important image processing step.
Comparing images to evaluate the quality of segmentation is an essential part of measuring …

Purpose Segmentations produced manually by experts or by algorithms are subject to
variability, as they depend on many factors, eg, the structure of interest, the resolution …

This work is focused on the generation and utilization of a reliable ground truth (GT)
segmentation for a large medical repository of digital cervicographic images (cervigrams) …