dc.creator | Domínguez Morales, Juan Pedro | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Vicente Díaz, Saturnino | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.creator | Olmo Sevilla, Asunción | es |
dc.creator | Fernández Enríquez, Antonio | es |
dc.date.accessioned | 2020-01-21T10:20:07Z | |
dc.date.available | 2020-01-21T10:20:07Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Domínguez Morales, J.P., Jiménez Fernández, Á.F., Vicente Díaz, S., Linares Barranco, A., Olmo Sevilla, A. y Fernández Enríquez, A. (2017). A Protocol Generator Tool for Automatic In-Vitro HPV Robotic Analysis. En Robot 2017: Third Iberian Robotics Conference (580-591), Sevilla, España: Springer. | |
dc.identifier.isbn | 978-3-319-70835-5 | es |
dc.identifier.issn | 2194-5357 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91990 | |
dc.description.abstract | Human Papilloma Virus (HPV) could develop precancerous
lesions and invasive cancer, as it is the main cause of nearly all cases
of cervical cancer. There are many strains of HPV and current vaccines
can only protect against some of them. This makes the detection and
genotyping of HPV a research area of utmost importance. Several biomedical
systems can detect HPV in DNA samples; however, most of
them do not have a procedure as fast, automatic or precise as it is actually
needed in this field. This manuscript presents a novel XML-based
hierarchical protocol architecture for biomedical robots to describe each
protocol step and execute it sequentially, along with a robust and automatic
robotic system for HPV DNA detection capable of processing from
1 to 24 samples simultaneously in a fast (from 45 to 162 min), efficient
(100% markers effectiveness) and precise (able to detect 36 different HPV
genotypes) way. It includes an efficient artificial vision process as the last
step of the diagnostic. | es |
dc.description.sponsorship | FIDETIA P055-12/E03 | es |
dc.description.sponsorship | Ministerio de Economía y Competitivida TEC2016-77785-P | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Robot 2017: Third Iberian Robotics Conference (2017), p 580-591 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Robotic arm | es |
dc.subject | In-vitro analysis | es |
dc.subject | Automatic diagnostic | es |
dc.subject | Computer vision | es |
dc.subject | OpenCV | es |
dc.subject | Convolutional Neural Networks (CNN) | es |
dc.subject | XML protocol | es |
dc.title | A Protocol Generator Tool for Automatic In-Vitro HPV Robotic Analysis | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | P055-12/E03 | es |
dc.relation.projectID | TEC2016-77785-P | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-70836-2_48 | es |
dc.identifier.doi | 10.1007/978-3-319-70836-2_48 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 12 | es |
dc.publication.initialPage | 580 | es |
dc.publication.endPage | 591 | es |
dc.eventtitle | Robot 2017: Third Iberian Robotics Conference | es |
dc.eventinstitution | Sevilla, España | es |
dc.relation.publicationplace | Berlin | es |