Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science
Knoedler L, Baecher H, Kauke-Navarro M, Prantl L, Machens HG, Scheuermann P, Palm C, Baumann R, Kehrer A, Panayi AC, Knoedler S. Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science. Journal Of Clinical Medicine 2022, 11: 4998. PMID: 36078928, PMCID: PMC9457271, DOI: 10.3390/jcm11174998.Peer-Reviewed Original ResearchAutomated grading systemEarly fusion techniqueHigh-level accuracyImage datasetsLate fusionComputer scienceNeural networkFacial poseFusion techniqueSurgeon workflowAccuracy levelAlgorithmGrading processGrading systemWorkflowInsufficient accuracyFP patientsAccuracyAccuracy outcomesClassification formDepartment of PlasticSequential methodUniversity Hospital RegensburgFacial palsy patientsHardware