Human Organ Geometry Construction from Segmented Images
Abstract
References
Index Terms
- Human Organ Geometry Construction from Segmented Images
Recommendations
Monte Carlo despeckling of transrectal ultrasound images of the prostate
In this paper, a novel stochastic method is developed for despeckling transrectal ultrasound (TRUS) images of the prostate. By incorporating the circular probe acquisition particularities and speckle noise statistics of TRUS images of the prostate into ...
Multiple Abdominal Organ Segmentation: An Atlas-Based Fuzzy Connectedness Approach
Organ segmentation is an important step in various medical image applications. In this paper, a presegmented atlas is incorporated into the fuzzy connectedness (FC) framework for automatic segmentation of abdominal organs. First, the atlas is registered ...
Automatic Diagnosis of Brain Magnetic Resonance Images based on Riemannian Geometry
Automated brain tumor detection and segmentation, from medical images, is one of the most challenging. The authors present, in this paper, an automatic diagnosis of brain magnetic resonance image. The goal is to prepare the image of the human brain to ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In

- General Chairs:
- Min Wu,
- Wei Lee,
- Program Chairs:
- Yiyi Zhouzhou,
- Riza Esa,
- Xiang Lee
In-Cooperation
- ACM Wuhan Chapter: ACM Wuhan Chapter
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 53Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in