Content analysis of uterine cervix images: Initial steps towards content based indexing and retrieval of cervigrams

Shiri Gordon, Gali Zimmerman, Rodney Long, Sameer Antani, Jose Jeronimo, Hayit Greenspan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

49 Scopus citations


This work is motivated by the need for visual information extraction and management in the growing field of medical image archives. In particular the work focuses on a unique medical repository of digital cervicographic images ("Cervigrams") collected by the National Cancer Institute (NCI) in a longitudinal multi-year study carried out in Guanacaste, Costa Rica. NCI together with the National Library of Medicine (NLM) is developing a unique Web-based database of the digitized cervix images to study the evolution of lesions related to cervical cancer. Such a database requires specific tools that can analyze the cervigram content and represent it in a way that can be efficiently searched and compared. We present a multi-step scheme for segmenting and labeling regions of medical and anatomical interest within the cervigram, utilizing statistical tools and adequate features. The multi-step structure is motivated by the large diversity of the images within the database. The algorithm identifies the cervix region within the image. It than separates the cervix region into three main tissue types: the columnar epithelium (CE), the squamous epithelium (SE), and the acetowhite (AW), which is visible for a short time following the application of acetic acid. The algorithm is developed and tested on a subset of 120 cervigrams that were manually labeled by NCI experts. Initial segmentation results are presented and evaluated.

Original languageEnglish
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
StatePublished - 2006
Externally publishedYes
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: 13 Feb 200616 Feb 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 III
ISSN (Print)1605-7422


ConferenceMedical Imaging 2006: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Cervical cancer
  • Cervicography images
  • Colposcopic image
  • Content-based indexing
  • Image segmentation
  • Medical image analysis


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