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Proceedings Paper

Web-accessible cervigram automatic segmentation tool
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Paper Abstract

Uterine cervix image analysis is of great importance to the study of uterine cervix cancer, which is among the leading cancers affecting women worldwide. In this paper, we describe our proof-of-concept, Web-accessible system for automated segmentation of significant tissue regions in uterine cervix images, which also demonstrates our research efforts toward promoting collaboration between engineers and physicians for medical image analysis projects. Our design and implementation unifies the merits of two commonly used languages, MATLAB and Java. It circumvents the heavy workload of recoding the sophisticated segmentation algorithms originally developed in MATLAB into Java while allowing remote users who are not experienced programmers and algorithms developers to apply those processing methods to their own cervicographic images and evaluate the algorithms. Several other practical issues of the systems are also discussed, such as the compression of images and the format of the segmentation results.

Paper Details

Date Published: 12 March 2010
PDF: 8 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280Z (12 March 2010); doi: 10.1117/12.844336
Show Author Affiliations
Zhiyun Xue, National Institutes of Health (United States)
Sameer Antani, National Institutes of Health (United States)
L. Rodney Long, National Institutes of Health (United States)
George R. Thoma, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)

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