Content-based indexing and retrieval of uterine cervix images

Gali Zimermman, Shiri Gordon, Hayit Greenspan

Research output: Contribution to conferencePaperpeer-review

Abstract

This work is motivated by the need for visual information management in the growing field of digital libraries and by the increasing information retrieval demands in the domains of medical imaging and telemedicine. We focus on a large database of digitized 35mm slides of the uterine cervix collected by the National Cancer Institute (NCI), National Institutes of Health (NIH), to study the evolution of lesions related to cervical cancer. As a first step towards this goal we focus on the problem of intelligently labeling (segmenting) regions of medical interest within the cervigram image. In this paper we use statistical tools for the segmentation of three tissue types of interest.

Original languageEnglish
Pages181-184
Number of pages4
StatePublished - 2004
Event2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings - Tel-Aviv, Israel
Duration: 6 Sep 20047 Sep 2004

Conference

Conference2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Country/TerritoryIsrael
CityTel-Aviv
Period6/09/047/09/04

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