Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system

Gali Zimmerman; Shiri Gordon; Hayit Greenspan

Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system

Gali Zimmerman, Shiri Gordon, Hayit Greenspan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

This work is motivated by the need for visual information extraction and management in the growing field of content based image retrieval from medical archives. In particular it focuses on a unique medical repository of cervicographic images ("Cervigrams") collected by the National Cancer Institute, National Institutes of Health, to study the evolution of lesions related to cervical cancer. The paper briefly presents a framework for cervigram segmentation and labelling, focusing on the identification of two anatomical landmarks: the cervix boundary and the os. These landmarks are identified based on their convexity, using adequate mathematical tools. Segmentation results are exemplified and an initial validation is carried out on a subset of 120 manually labelled cervigrams.

Original language	English
Title of host publication	2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Pages	1348-1351
Number of pages	4
State	Published - 2006
Externally published	Yes
Event	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States Duration: 6 Apr 2006 → 9 Apr 2006

Publication series

Name	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume	2006

Conference

Conference	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Country/Territory	United States
City	Arlington, VA
Period	6/04/06 → 9/04/06

Cite this

Zimmerman, G., Gordon, S., & Greenspan, H. (2006). Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 1348-1351). Article 1625176 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006).

@inproceedings{aa6a3801964842de83dd72cbdb36a014,

title = "Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system",

abstract = "This work is motivated by the need for visual information extraction and management in the growing field of content based image retrieval from medical archives. In particular it focuses on a unique medical repository of cervicographic images ({"}Cervigrams{"}) collected by the National Cancer Institute, National Institutes of Health, to study the evolution of lesions related to cervical cancer. The paper briefly presents a framework for cervigram segmentation and labelling, focusing on the identification of two anatomical landmarks: the cervix boundary and the os. These landmarks are identified based on their convexity, using adequate mathematical tools. Segmentation results are exemplified and an initial validation is carried out on a subset of 120 manually labelled cervigrams.",

author = "Gali Zimmerman and Shiri Gordon and Hayit Greenspan",

year = "2006",

language = "English",

isbn = "0780395778",

series = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

pages = "1348--1351",

booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging",

note = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro ; Conference date: 06-04-2006 Through 09-04-2006",

}

Zimmerman, G, Gordon, S & Greenspan, H 2006, Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 1625176, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, vol. 2006, pp. 1348-1351, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, United States, 6/04/06.

Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. / Zimmerman, Gali; Gordon, Shiri; Greenspan, Hayit.
2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2006. p. 1348-1351 1625176 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This work is motivated by the need for visual information extraction and management in the growing field of content based image retrieval from medical archives. In particular it focuses on a unique medical repository of cervicographic images ("Cervigrams") collected by the National Cancer Institute, National Institutes of Health, to study the evolution of lesions related to cervical cancer. The paper briefly presents a framework for cervigram segmentation and labelling, focusing on the identification of two anatomical landmarks: the cervix boundary and the os. These landmarks are identified based on their convexity, using adequate mathematical tools. Segmentation results are exemplified and an initial validation is carried out on a subset of 120 manually labelled cervigrams.

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Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system

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