Clasificador de Máquinas de Vectores de Soporte para el Apoyo en la Detección del Grado I y II de Osteoartritis de Rodilla Según Kellgren- Lawrence Mediante Imágenes de Rayos X.

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dc.contributor.advisorTriana Martínez, Jenniffer Carolinaspa
dc.contributor.authorSanchez Vasquez, Maria Josespa
dc.contributor.authorBastos Claros, Carlos Albertospa
dc.creator.cedula1075312324spa
dc.creator.cedula1075311566spa
dc.creator.cedula38212233spa
dc.date.accessioned2021-03-10T20:24:19Z
dc.date.available2021-03-10T20:24:19Z
dc.date.issued2020-12-02spa
dc.descriptionPropiaes_ES
dc.description.abstractThe purpose of this project is to implement a Support Vector Machine (SVM) classifier, based on the Kellgren-Lawrence (KL) grade classification method, and the use of X-ray images (XR), with the objective of supporting the trauma specialist's diagnosis in the detection of knee Osteoarthritis (OA) grade according to the above-mentioned classification, in Orthopedic and Traumatology of the Medilaser Clinic of Neiva treated between the months of June and August 2020. It is expected that this project will allow the categorization of the degree of Osteoarthritis (OA) of the knee supporting the diagnosis of the specialist, in such a way that the amount of tests in addition to those previously named is minimized to determine a diagnosis of this pathology.eng
dc.description.abstractEl propósito de este proyecto es implementar un clasificador de Máquina de Vectores de Soporte (SVM), basándose en el método de clasificación de la Escala de Kellgren-Lawrence (KL), y la utilización de imágenes de rayos x (RX), con el objetivo de apoyar en el diagnóstico del especialista en traumatología en la detección del grado Osteoartritis (OA) de rodilla de acuerdo a la clasificación antes mencionada, en pacientes de Ortopedia y Traumatología de la Clínica Medilaser de Neiva tratados entre los meses de junio y agosto de 2020. Se espera que este proyecto permita categorizar el grado de Osteoartritis (OA) de rodilla apoyando el diagnóstico del especialista, de tal manera que se minimice la cantidad de pruebas además de las nombradas anteriormente para determinar un diagnóstico de esta patología.spa
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero(a) Electrónico(a)spa
dc.description.funderFinanciación estudiantes 2'270.000 COP, Financiación UAN 1'009.520 COPes_ES
dc.description.notesPresencialspa
dc.description.sponsorshipOtrospa
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dc.identifier.instnameinstname:Universidad Antonio Nariñospa
dc.identifier.reponamereponame:Repositorio Institucional UANspa
dc.identifier.repourlrepourl:https://repositorio.uan.edu.co/spa
dc.identifier.urihttp://repositorio.uan.edu.co/handle/123456789/3159
dc.language.isospaspa
dc.publisherUniversidad Antonio Nariñospa
dc.publisher.campusNeiva Buganvilesspa
dc.publisher.facultyFacultad de Ingeniería Mecánica, Electrónica y Biomédicaspa
dc.publisher.programIngeniería Electrónicaspa
dc.rightsAcceso abierto
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.licenseAttribution-NoDerivatives 4.0 International (CC BY-ND 4.0)spa
dc.rights.urihttps://creativecommons.org/licenses/by-nd/4.0/spa
dc.subjectOsteoartritises_ES
dc.subjectSVMes_ES
dc.subjectAprendizaje de máquinaes_ES
dc.subjectCaracterísticas Kellgren-Lawrencees_ES
dc.subjectRayos Xes_ES
dc.subject.keywordOsteoarthritises_ES
dc.subject.keywordSVMes_ES
dc.subject.keywordMachine Learninges_ES
dc.subject.keywordKellgren-Lawrence Featureses_ES
dc.subject.keywordX- Rayes_ES
dc.titleClasificador de Máquinas de Vectores de Soporte para el Apoyo en la Detección del Grado I y II de Osteoartritis de Rodilla Según Kellgren- Lawrence Mediante Imágenes de Rayos X.es_ES
dc.typeTrabajo de grado (Pregrado y/o Especialización)spa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1fspa
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
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