Automated detection of human papillomavirus: Via analysis of linear array images

Matthew Wilhelm; Brian Nutter; Rodney Long; Sameer Antani

doi:10.1109/SSIAI.2010.5483883

Automated detection of human papillomavirus: Via analysis of linear array images

Matthew Wilhelm, Brian Nutter, Rodney Long, Sameer Antani

Electrical and Computer Engineering

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

Abstract

Persistent infections with carcinogenic Human Papillomavirus (HPV) are a necessary cause for cervical cancer, which is the fifth most deadly cancer for women worldwide. Approximately 20 million Americans are currently infected with HPV but only a subset will develop cervical cancer. While a negative HPV test indicates a very low risk for cervical cancer, a positive test cannot discriminate between an innocuous transient infection and a prevalent cancer. Additional information such as HPV genotype and HPV viral load is thought to improve the predictive ability of which women will develop cervical cancer. The visual interpretation of hybridization-strip-based HPV genotyping results, however, is heterogeneous and poorly standardized. This has led to work toward the development of a robust automated image analysis package for HPV genotyping strips.

Original language	English
Title of host publication	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
Pages	205-208
Number of pages	4
DOIs	https://doi.org/10.1109/SSIAI.2010.5483883
State	Published - 2010
Event	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Austin, TX, United States Duration: May 23 2010 → May 25 2010

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
Country/Territory	United States
City	Austin, TX
Period	05/23/10 → 05/25/10

Keywords

Automated
Human papilomavirus
Linear array

Access to Document

10.1109/SSIAI.2010.5483883

Cite this

Wilhelm, M., Nutter, B., Long, R., & Antani, S. (2010). Automated detection of human papillomavirus: Via analysis of linear array images. In 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings (pp. 205-208). [5483883] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). https://doi.org/10.1109/SSIAI.2010.5483883

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title = "Automated detection of human papillomavirus: Via analysis of linear array images",

abstract = "Persistent infections with carcinogenic Human Papillomavirus (HPV) are a necessary cause for cervical cancer, which is the fifth most deadly cancer for women worldwide. Approximately 20 million Americans are currently infected with HPV but only a subset will develop cervical cancer. While a negative HPV test indicates a very low risk for cervical cancer, a positive test cannot discriminate between an innocuous transient infection and a prevalent cancer. Additional information such as HPV genotype and HPV viral load is thought to improve the predictive ability of which women will develop cervical cancer. The visual interpretation of hybridization-strip-based HPV genotyping results, however, is heterogeneous and poorly standardized. This has led to work toward the development of a robust automated image analysis package for HPV genotyping strips.",

keywords = "Automated, Human papilomavirus, Linear array",

author = "Matthew Wilhelm and Brian Nutter and Rodney Long and Sameer Antani",

year = "2010",

doi = "10.1109/SSIAI.2010.5483883",

language = "English",

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series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

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booktitle = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings",

note = "null ; Conference date: 23-05-2010 Through 25-05-2010",

}

Wilhelm, M, Nutter, B, Long, R & Antani, S 2010, Automated detection of human papillomavirus: Via analysis of linear array images. in 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings., 5483883, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 205-208, 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010, Austin, TX, United States, 05/23/10. https://doi.org/10.1109/SSIAI.2010.5483883

Automated detection of human papillomavirus : Via analysis of linear array images. / Wilhelm, Matthew; Nutter, Brian; Long, Rodney; Antani, Sameer.

2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings. 2010. p. 205-208 5483883 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

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

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AB - Persistent infections with carcinogenic Human Papillomavirus (HPV) are a necessary cause for cervical cancer, which is the fifth most deadly cancer for women worldwide. Approximately 20 million Americans are currently infected with HPV but only a subset will develop cervical cancer. While a negative HPV test indicates a very low risk for cervical cancer, a positive test cannot discriminate between an innocuous transient infection and a prevalent cancer. Additional information such as HPV genotype and HPV viral load is thought to improve the predictive ability of which women will develop cervical cancer. The visual interpretation of hybridization-strip-based HPV genotyping results, however, is heterogeneous and poorly standardized. This has led to work toward the development of a robust automated image analysis package for HPV genotyping strips.

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Wilhelm M, Nutter B, Long R, Antani S. Automated detection of human papillomavirus: Via analysis of linear array images. In 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings. 2010. p. 205-208. 5483883. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). https://doi.org/10.1109/SSIAI.2010.5483883

Automated detection of human papillomavirus: Via analysis of linear array images

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