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A Unified Set of Analysis Tools for Uterine Cervix Image Segmentation
| Content Provider | PubMed Central |
|---|---|
| Author | Xue, Zhiyun Long, Rodney Antani, Sameer Neve, Leif Zhu, Yaoyao Thoma, George |
| Abstract | Segmentation is a fundamental component of many medical image processing applications, and it has long been recognized as a challenging problem. In this paper, we report our research and development efforts on analyzing and extracting clinically meaningful regions from uterine cervix images in a large database created for the study of cervical cancer. In addition to proposing new algorithms, we also focus on developing open source tools which are in synchrony with the research objectives. These efforts have resulted in three Web-accessible tools which address three important and interrelated sub-topics in medical image segmentation, respectively: the BMT (Boundary Marking Tool), CST (Cervigram Segmentation Tool), and MOSES (Multi-Observer Segmentation Evaluation System). The BMT is for manual segmentation, typically to collect “ground truth” image regions from medical experts. The CST is for automatic segmentation, and MOSES is for segmentation evaluation. These tools are designed to be a unified set in which data can be conveniently exchanged. They have value not only for improving the reliability and accuracy of algorithms of uterine cervix image segmentation, but also promoting collaboration between biomedical experts and engineers which are crucial to medical image processing applications. Although the CST is designed for the unique characteristics of cervigrams, the BMT and MOSES are very general and extensible, and can be easily adapted to other biomedical image collections. |
| Related Links | http://dx.doi.org/10.1016/j.compmedimag.2010.04.002 |
| Ending Page | 604 |
| Page Count | 12 |
| Starting Page | 593 |
| File Format | |
| ISSN | 08956111 |
| e-ISSN | 18790771 |
| Journal | Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society |
| Issue Number | 8 |
| Volume Number | 34 |
| Language | English |
| Publisher Date | 2010-12-01 |
| Access Restriction | Open |
| Subject Keyword | Radiological and Ultrasound Technology Health Informatics Radiology Nuclear Medicine and imaging Computer Vision and Pattern Recognition Computer Graphics and Computer-Aided Design Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Radiology, Nuclear Medicine and Imaging Health Informatics Computer Vision and Pattern Recognition Radiological and Ultrasound Technology |
