Abstract : Segmentation is a fundamental component of many medical image-processing applications and it has lo
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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 Boundary Marking Tool (BMT) Cervigram Segmentation Tool (CST) and Multi-Observer Segmentation Evaluation System (MOSES). 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.Published by Elsevier Ltd.PMID 20510585 PubMed - in processPMCID PMC2955170 Available on 2011/12/1Publication TypesPublication Types Research Support N.I.H. IntramuralResearch Support Non-U.S. GovtLinkOut - more resourcesFull Text SourcesElsevier ScienceEBSCOOhioLINK Electronic Journal CenterSwets Information Services Supplemental Content Related citations Evaluation of uterine cervix segmentations using ground truth from multiple experts. Comput Med Imaging Graph. 2009 Evaluation of uterine cervix segmentations using ground truth from multiple experts.Gordon S Lotenberg S Long R Antani S Jeronimo J Greenspan H. Comput Med Imaging Graph. 2009 Apr 33(3)205-16. Epub 2009 Feb 13. Automatic detection of anatomical landmarks in uterine cervix images. IEEE Trans Med Imaging. 2009 Automatic detection of anatomical landmarks in uterine cervix images.Greenspan H Gordon S Zimmerman G Lotenberg S Jeronimo J Antani S Long R. IEEE Trans Med Imaging. 2009 Mar 28(3)454-68. Review Digital tools for collecting data from cervigrams for research and training in colposcopy. J Low Genit Tract Dis. 2006 Review Digital tools for collecting data from cervigrams for research and training in colposcopy.Jeronimo J Long LR Neve L Michael B Antani S Schiffman M. J Low Genit Tract Dis. 2006 Jan 10(1)16-25. Shape priors for segmentation of the cervix region within uterine cervix images. J Digit Imaging. 2009 Shape priors for segmentation of the cervix region within uterine cervix images.Lotenberg S Gordon S Greenspan H. J Digit Imaging. 2009 Jun 22(3)286-96. Epub 2008 Aug 14. Review Anniversary paper History and status of CAD and quantitative image analysis the role of Medical Physics and AAPM. Med Phys. 2008 Review Anniversary paper History and status of CAD and quantitative image analysis the role of Medical Physics and AAPM.Giger ML Chan HP Boone J. Med Phys. 2008 Dec 35(12)5799-820. See reviews... See all... Recent activity Clear Turn Off Turn On A unified set of analysis tools for uterine cervix image segmentation. A unified set of analysis tools for uterine cervix image segmentation.Comput Med Imaging Graph. 2010 Dec 34(8)593-604. Epub 2010 May 26 . PubMed Your browsing activity is empty. Activity recording is turned off. Turn recording back on See more... You are here NCBI gt Literature gt PubMed Write to the Help Desk Simple NCBI Directory Getting Started NCBI Education NCBI Help Manual NCBI Handbook Training amp Tutorials Resources Chemicals amp BioassaysData amp SoftwareDNA amp RNADomains amp StructuresGenes amp ExpressionGenetics amp MedicineGenomes amp MapsHomologyLiteratureProteinsSequence AnalysisTaxonomyTraining amp TutorialsVariation Popular PubMed Nucleotide BLAST PubMed Central Gene Bookshelf Protein OMIM Genome SNP Structure Featured GenBank Reference Sequences Map Viewer Genome Projects Human Genome Mouse Genome Influenza Virus Primer-BLAST Sequence Read Archive NCBI Information About NCBI Research at NCBI NCBI Newsletter NCBI FTP Site NCBI on Facebook NCBI on Twitter NCBI on YouTube NIH DHHS USA.gov Copyright | Disclaimer | Privacy | Accessibility | Contact National Center for Biotechnology Information U.S. National Library of Medicine 8600 Rockville Pike Bethesda MD 20894 USA
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