ArticleJournal of medical systems2012
Manual refinement system for graph-based segmentation results in the medical domain.
Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Trial
- A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging.Veterinary sciences · 2022Review
- Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT.International journal of computer assisted radiology and surgery · 2019Article
- Computed tomography data collection of the complete human mandible and valid clinical ground truth models.Scientific data · 2019Article
- A Segmentation Editing Framework Based on Shape Change Statistics.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- A Novel Active Contour Model for MRI Brain Segmentation used in Radiotherapy Treatment Planning.Electronic physician · 2016Article
- Iterative-cuts: longitudinal and scale-invariant segmentation via user-defined templates for rectosigmoid colon in gynecological brachytherapy.Journal of medical imaging (Bellingham, Wash.) · 2016Article
- Interactive Volumetry Of Liver Ablation Zones.Scientific reports · 2015Article
- Brain MR image segmentation with spatial constrained K-mean algorithm and dual-tree complex wavelet transform.Journal of medical systems · 2014Article
- Refinement-cut: user-guided segmentation algorithm for translational science.Scientific reports · 2014Article
- Article
- Development of an open source software module for enhanced visualization during MR-guided interstitial gynecologic brachytherapy.SpringerPlus · 2014Article
- Voxel classification and graph cuts for automated segmentation of pathological periprosthetic hip anatomy.International journal of computer assisted radiology and surgery · 2013Article
- Article
- GBM volumetry using the 3D Slicer medical image computing platform.Scientific reports · 2013Article
- Template-cut: a pattern-based segmentation paradigm.Scientific reports · 2012Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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. The weighted edges of the graph are obtained by intensity differences in the image. Once the graph is constructed, the minimal cost closed set on the graph can be computed via a polynomial time s-t cut, dividing the graph into two parts: the object and the background. However, no segmentation method provides perfect results, so additional manual editing is required, especially in the sensitive field of medical image processing. In this study, we present a manual refinement method that takes advantage of the basic design of graph-based image segmentation algorithms. Our approach restricts a graph-cut by using additional user-defined seed points to set up fixed nodes in the graph. The advantage is that manual edits can be integrated intuitively and quickly into the segmentation result of a graph-based approach. The method can be applied to both 2D and 3D objects that have to be segmented. Experimental results for synthetic and real images are presented to demonstrate the feasibility of our approach.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.