Automated abdominal multi-organ segmentation with subject-specific atlas generation
R Wolz, C Chu, K Misawa, M Fujiwara… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
A robust automated segmentation of abdominal organs can be crucial for computer aided
diagnosis and laparoscopic surgery assistance. Many existing methods are specialized to …
diagnosis and laparoscopic surgery assistance. Many existing methods are specialized to …
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Variations in the shape and appearance of anatomical structures in medical images are
often relevant radiological signs of disease. Automatic tools can help automate parts of this …
often relevant radiological signs of disease. Automatic tools can help automate parts of this …
Tumor burden analysis on computed tomography by automated liver and tumor segmentation
MG Linguraru, WJ Richbourg, J Liu… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The paper presents the automated computation of hepatic tumor burden from abdominal
computed tomography (CT) images of diseased populations with images with inconsistent …
computed tomography (CT) images of diseased populations with images with inconsistent …
Multi-organ abdominal CT segmentation using hierarchically weighted subject-specific atlases
A robust automated segmentation of abdominal organs can be crucial for computer aided
diagnosis and laparoscopic surgery assistance. Many existing methods are specialised to …
diagnosis and laparoscopic surgery assistance. Many existing methods are specialised to …
Prior shape level set segmentation on multistep generated probability maps of MR datasets for fully automatic kidney parenchyma volumetry
Fully automatic 3-D segmentation techniques for clinical applications or epidemiological
studies have proven to be a very challenging task in the domain of medical image analysis …
studies have proven to be a very challenging task in the domain of medical image analysis …
Abdominal multi-organ segmentation of CT images based on hierarchical spatial modeling of organ interrelations
T Okada, MG Linguraru, Y Yoshida, M Hori… - … and Clinical Applications …, 2012 - Springer
The automated segmentation of multiple organs in CT data of the upper abdomen is
addressed. In order to explicitly incorporate the spatial interrelations among organs, we …
addressed. In order to explicitly incorporate the spatial interrelations among organs, we …
Enhancing Segmentation Approaches from GC-GGC to Fuzzy KC-Means
Tumor segmentation required also the identical automatic initialization as regarding the
liver. This phase was applied only in order to liver volume, obtained following automatic …
liver. This phase was applied only in order to liver volume, obtained following automatic …
Liver segmentation approach using graph cuts and iteratively estimated shape and intensity constrains
A Afifi, T Nakaguchi - … Conference on Medical Image Computing and …, 2012 - Springer
In this paper, we present a liver segmentation approach. In which, the relation between
neighboring slices in CT images is utilized to estimate shape and statistical information of …
neighboring slices in CT images is utilized to estimate shape and statistical information of …
An overview of abdominal multi-organ segmentation
The segmentation of multiple abdominal organs of the human body from images with
different modalities is challenging because of the inter-subject variance among abdomens …
different modalities is challenging because of the inter-subject variance among abdomens …
Liver and tumor segmentation and analysis from CT of diseased patients via a generic affine invariant shape parameterization and graph cuts
MG Linguraru, WJ Richbourg, JM Watt… - … and Clinical Applications …, 2012 - Springer
The paper presents the automated segmentation of livers from abdominal CT images of
diseased populations from images with inconsistent enhancement. A novel three …
diseased populations from images with inconsistent enhancement. A novel three …