Image segmentation of uterine cervix images for indexing in PACS

Proceedings of the IEEE Symposium on Computer-Based Medical Systems

Volumn 17, Issue , 2004, Pages 298-303

  Gordon, Shiri ^a   Zimmerman, Gali ^a   Greenspan, Hayit ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; DATABASE SYSTEMS; INFORMATION MANAGEMENT; MATHEMATICAL MODELS; STATISTICAL METHODS; TEXTURES; TISSUE; TUMORS;

CERVICAL CANCER; CLUSTERS; DATA COLLECTION; LESIONS;

IMAGE SEGMENTATION;

EID: 4544259663     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. PM. Cristoforoni, D. Gerbaldo, A. Perino, R. Piccoli, FJ. Montz, and GL. Captianio. Computerized colposcopy: Results of a pilot study and analysis of its clinical relevance. Obstet. Gynecol, 85:1011-1016, 1995.
3. H. Greenspan, J. Goldberger, and L. Ridel. A continuous probabilistic framework for image matching. Journal of Computer Vision and Image Understanding, 84:384-406, 2001.
4. Q. Ji, J. Engel, and E. Craine. Texture analysis for classification of cervix lesions. IEEE Transaction on Medical Imaging, 19(11):1144-1149, 2000.
5. BW. Pogue, MA. Mycek, and D. Harper. Image analysis for discrimination of cervical neoplasia. Journal of Biomedical Optics, 5(1):72-82, 2000.
6. V. Van Raad. Frequency space analysis of cervical images using short time fourer transform. In Proceedings of the IASTED International Conference of Biomedical Engineering, volume 1, pages 77-81, Salzburg, Austria, January 2003.
7. V. Van Raad and A. Bradley. Active contour model based segmentation of colposcopy images from cervix uteri using gaussian pyramids.