Manual refinement system for graph-based segmentation results in the medical domain
The basic principle of graph-based approaches for image segmentation is to interpret an
image as a graph, where the nodes of the graph represent 2D pixels or 3D voxels of the …
image as a graph, where the nodes of the graph represent 2D pixels or 3D voxels of the …
Weights and topology: A study of the effects of graph construction on 3d image segmentation
Graph-based algorithms have become increasingly popular for medical image
segmentation. The fundamental process for each of these algorithms is to use the image …
segmentation. The fundamental process for each of these algorithms is to use the image …
Graph-based methods for interactive image segmentation
F Malmberg - 2011 - diva-portal.org
The subject of digital image analysis deals with extracting relevant information from image
data, stored in digital form in a computer [31]. Research in this field started in the 1960's …
data, stored in digital form in a computer [31]. Research in this field started in the 1960's …
Biomedical image segmentation via constrained graph cuts and pre-segmentation
In this paper we present a high-fidelity method for 2D and 3D image boundary
segmentation. The algorithm is a novel combination of graph-cuts and initial image …
segmentation. The algorithm is a novel combination of graph-cuts and initial image …
Interactive organ segmentation using graph cuts
An N-dimensional image is divided into “object” and “background” segments using a graph
cut approach. A graph is formed by connecting all pairs of neighboring image pixels (voxels) …
cut approach. A graph is formed by connecting all pairs of neighboring image pixels (voxels) …
[PDF][PDF] Review of graph, medical and color image base segmentation techniques
PJ Baldevbhai, RS Anand - IOSR J Electr Electron Eng, 2012 - researchgate.net
This literature review attempts to provide a brief overview of some of the most common
segmentation techniques, and a comparison between them. It discusses Graph based …
segmentation techniques, and a comparison between them. It discusses Graph based …
A survey of graph cuts/graph search based medical image segmentation
X Chen, L Pan - IEEE reviews in biomedical engineering, 2018 - ieeexplore.ieee.org
Medical image segmentation is a fundamental and challenging problem for analyzing
medical images. Among different existing medical image segmentation methods, graph …
medical images. Among different existing medical image segmentation methods, graph …
A modified graph cuts image segmentation algorithm with adaptive shape constraints and its application to computed tomography images
H Chen, X Pan, X Lu, Q Xie - Biomedical signal processing and control, 2020 - Elsevier
The low contrast, blurred edges, and irregular contours of organs, such as the liver, kidney,
and spleen, in abdominal computed tomography (CT) images hamper the machine-aided …
and spleen, in abdominal computed tomography (CT) images hamper the machine-aided …
Interactive 3D segmentation editing and refinement via gated graph neural networks
The extraction of organ and lesion regions is an important yet challenging problem in
medical image analysis. The accuracy of the segmentation is essential to the quantitative …
medical image analysis. The accuracy of the segmentation is essential to the quantitative …
An energy minimization approach to the data driven editing of presegmented images/volumes
L Grady, G Funka-Lea - … Conference on Medical Image Computing and …, 2006 - Springer
Fully automatic, completely reliable segmentation in medical images is an unrealistic
expectation with today's technology. However, many automatic segmentation algorithms …
expectation with today's technology. However, many automatic segmentation algorithms …