Linear array image analysis for automated detection of human papillomavirus

Matthew Wilhelm, Brian Nutter, Rodney Long, Sameer Antani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
DOIs
StatePublished - 2009
Event2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM, United States
Duration: Aug 2 2009Aug 5 2009

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
CountryUnited States
CityAlbuquerque, NM
Period08/2/0908/5/09

Fingerprint Dive into the research topics of 'Linear array image analysis for automated detection of human papillomavirus'. Together they form a unique fingerprint.

Cite this