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dc.contributor.authorOscanoa1, Julio
dc.contributor.authorMena, Marcelo
dc.contributor.authorKemper, Guillermo
dc.date.accessioned2019-01-14T13:55:58Z
dc.date.available2019-01-14T13:55:58Z
dc.date.issued2015-04
dc.identifier.doi10.14257/ijmue.2015.10.2.04
dc.identifier.urihttp://hdl.handle.net/10757/624843
dc.description.abstractCervical cancer is one of the main causes of death by disease worldwide. In Peru, it holds the first place in frequency and represents 8% of deaths caused by sickness. To detect the disease in the early stages, one of the most used screening tests is the cervix Papanicolaou test. Currently, digital images are increasingly being used to improve Pap test efficiency. This work develops an algorithm based on adaptive thresholds, which will be used in Pap smear assisted quality control software. The first stage of the method is a pre-processing step, in which noise and background removal is done. Next, a block is segmented for each one of the points selected as not background, and a local threshold per block is calculated to search for cell nuclei. If a nucleus is detected, an artifact rejection follows, where only cell nuclei and inflammatory cells are left for the doctors to interpret. The method was validated with a set of 55 images containing 2317 cells. The algorithm successfully recognized 92.3% of the total nuclei in all images collected.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherScience and Engineering Research Support Societyen_US
dc.relation.urlhttps://www.scopus.com/record/display.uri?eid=2-s2.0-84925092385&origin=resultslist&sort=cp-t&src=s&st1=Detection+Method+of+Ectocervical+Cell+Nuclei+for+Pap+test+Images&st2=&sid=f9ff1c3fb2601e018a7a6b384da4d95b&sot=b&sdt=b&sl=79&s=TITLE-ABS-KEY%28Detection+Method+of+Ectocervical+Cell+Nuclei+for+Pap+test+Images%29&relpos=0&citeCnt=2&searchTerm=en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Academico - UPCes_PE
dc.subjectCervical canceren_US
dc.subjectMedical image processingen_US
dc.subjectNuclei detectionen_US
dc.subjectCellsen_US
dc.subjectCytologyen_US
dc.subjectDiagnosisen_US
dc.subjectImage processingen_US
dc.subjectMedical imagingen_US
dc.subjectPattern recognition systemsen_US
dc.titleA Detection Method of Ectocervical Cell Nuclei for Pap test Images, Based on Adaptive Thresholds and Local Derivativesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.journalInternational Journal of Multimedia and Ubiquitous Engineeringen_US
dc.description.peerreviewRevisón por pareses_PE
dc.contributor.emailjulioscanoa@gmail.comes_PE
refterms.dateFOA2019-01-14T13:55:58Z
dc.identifier.isni0000 0001 2196 144X


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