Image segmentation of uterine cervix images for indexing in PACS

Shiri Gordon, Gali Zimmerman, Hayit Greenspan

Research output: Contribution to journalConference articlepeer-review

44 Scopus citations

Abstract

The National Cancer Institute has collected a large database of digitized 35mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of lesions related to cervical cancer. In taking the first few steps towards this goal, the objective of this 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 and texture features, and use these models for image segmentation. Statistical modeling and segmentation tools are used for the task.

Original languageEnglish
Pages (from-to)298-303
Number of pages6
JournalProceedings of the IEEE Symposium on Computer-Based Medical Systems
Volume17
StatePublished - 29 Sep 2004
Externally publishedYes
EventProceedings 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004 - Bethesda, MD, United States
Duration: 24 Jun 200425 Jun 2004

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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