Image Segmentation of Uterine Cervix Images for Indexing in PACS

Authors:
Shiri Gordon;Gali Zimmerman;Hayit Greenspan
Affiliations:
Tel-Aviv University, Israel;Tel-Aviv University, Israel;Tel-Aviv University, Israel
Venue:
CBMS '04 Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems
Year:
2004

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Abstract

The National Cancer Institute has collected a large database of digitized 35mm slides ofthe uterine cervix, the idea being to build a system enabling to study the evolution of lesionsrelated to cervical cancer. In taking the first few steps towards this goal, the objective ofthis work is to develop and evaluate methodologies required for visual-based (i.e. content-based) indexing and retrieval that substantially improve information management of such a database. In this paper we model the properties of three tissue types using color andtexture features, and use these models for image segmentation. Statistical modeling andsegmentation tools are used for the task.