1. Universidad Antonio Nariño
  2. Trabajos de grado
  3. Pregrado
  4. Ingeniería electrónica
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Campo DC Valor Lengua/Idioma
dc.contributor.advisorTriana Martínez, Jenniffer Carolina-
dc.creatorSanchez Vasquez, Maria Jose-
dc.creatorBastos Claros, Carlos Alberto-
dc.date.accessioned2021-03-10T20:24:19Z-
dc.date.available2021-03-10T20:24:19Z-
dc.date.created2020-12-02-
dc.identifier.urihttp://repositorio.uan.edu.co/handle/123456789/3159-
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.es_ES
dc.description.sponsorshipOtroes_ES
dc.description.tableofcontentsEl 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.es_ES
dc.language.isospaes_ES
dc.publisherUniversidad Antonio Nariñoes_ES
dc.rightsAtribución 3.0 Estados Unidos de América*
dc.rightsAtribución 3.0 Estados Unidos de América*
dc.rightsAtribución 3.0 Estados Unidos de América*
dc.rightsAtribución 3.0 Estados Unidos de América*
dc.rightsAtribución 3.0 Estados Unidos de América*
dc.rightsAtribución 3.0 Estados Unidos de América*
dc.rightsAtribución-SinDerivadas 3.0 Estados Unidos de América*
dc.rightsAtribución-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.sourceinstname:Universidad Antonio Nariñoes_ES
dc.sourcereponame:Repositorio Institucional UANes_ES
dc.sourceinstname:Universidad Antonio Nariñoes_ES
dc.sourcereponame:Repositorio Institucional UANes_ES
dc.subjectOsteoartritises_ES
dc.subjectSVMes_ES
dc.subjectAprendizaje de máquinaes_ES
dc.subjectCaracterísticas Kellgren-Lawrencees_ES
dc.subjectRayos Xes_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.publisher.programIngeniería Electrónicaes_ES
dc.rights.accesRightsopenAccesses_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.type.spaTrabajo de grado (Pregrado y/o Especialización)es_ES
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES
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dc.description.degreenameIngeniero(a) Electrónico(a)es_ES
dc.description.degreelevelPregradoes_ES
dc.publisher.facultyFacultad de Ingeniería Mecánica, Electrónica y Biomédicaes_ES
dc.description.funderFinanciación estudiantes 2'270.000 COP, Financiación UAN 1'009.520 COPes_ES
dc.description.notesPresenciales_ES
dc.creator.cedula1075312324es_ES
dc.creator.cedula1075311566es_ES
dc.creator.cedula38212233es_ES
dc.publisher.campusNeiva Buganviles-
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