AUTOMATIC CLASSIFICATION OF OSTEOARTHRITIS GRADE IN KNEE CARTILAGE SAMPLES USING MICROSCOPY IMAGES

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dc.contributor.authorConde Mena, Maria
dc.date.accessioned2026-05-26T10:36:42Z
dc.date.issued2024-12-17
dc.descriptionTrabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2024/2025. Directores/as: Borja Rodríguez Vila
dc.description.abstractTHIS FINAL DEGREE PROJECT AIMS TO AUTOMATE THE PROCESS OF APPLYING THE OARSI (OSTEOARTHRITIS RESEARCH SOCIETY INTERNATIONAL) SCALE TO DETERMINE THE DEGREE OF OSTEOARTHRITIS IN CARTILAGE SAMPLES IN MICROSCOPY IMAGES. TO THIS END, THREE PRE-TRAINED MODELS ARE USED AND EVALUATED TO SEE WHICH OF THEM IS THE MOST EFFICIENT FOR CLASSIFYING THE DIFFERENT DEGREES OF THE DISEASE.
dc.identifier.urihttps://hdl.handle.net/10115/210557
dc.language.isoeng
dc.publisherUniversidad Rey Juan Carlos
dc.rightsCreative Commons Atribución 4.0 Internacional
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectOSTEOARTHRITIS
dc.subjectOARSI
dc.subjectDENSENET121
dc.subjectCNN
dc.subjectDEEP LEARNING
dc.subjectTRANSFER LEARNING
dc.subjectRESNET50
dc.subjectEFFICIENTNETV2B0
dc.subjectPATCH-BASED EVALUATION
dc.subjectOA GRADE CLASSIFICATION
dc.subjectCLASSIFICATION METRICS
dc.subjectCARTILAGE DATASET
dc.subjectOSTEOARTHRITIS CLASIFICATION
dc.titleAUTOMATIC CLASSIFICATION OF OSTEOARTHRITIS GRADE IN KNEE CARTILAGE SAMPLES USING MICROSCOPY IMAGES
dc.typeinfo:eu-repo/semantics/studentThesis

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