2024
Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries
Mulford K, Regan C, Todderud J, Nolte C, Pinter Z, Chang-Chien C, Yan S, Wyles C, Khosravi B, Rouzrokh P, Maradit Kremers H, Larson A. Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries. Spine Deformity 2024, 12: 1607-1614. PMID: 39039392, DOI: 10.1007/s43390-024-00933-9.Peer-Reviewed Original ResearchConceptsTest setConvolutional neural network classifierNeural network classifierDeep learning classifierDeep learning classificationNetwork classifierData ingestionF1 scoreLearning classifiersModel architecturePerformance metricsPicture archivingTraining setClassifierAutomatic systemSpine radiographsOverall accuracyLateral imagesArchitectureAP imagesImage registryPediatric scoliosis patientsLateral spine radiographsAccuracyRadiographs of patients
2022
Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry
Rouzrokh P, Khosravi B, Johnson Q, Faghani S, Garcia D, Erickson B, Kremers H, Taunton M, Wyles C. Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry. Journal Of Bone And Joint Surgery 2022, 104: 1649-1658. PMID: 35866648, PMCID: PMC9617138, DOI: 10.2106/jbjs.21.01229.Peer-Reviewed Original ResearchConceptsExtraction of image dataDeep learning algorithmsDeep learning pipelineRandom test sampleHuman annotatorsDICOM filesManual labelingDeep learningF1 scoreAlgorithm performancePixel dataAlgorithmEfficient pipelineMetadataFilesImage registryDICOMAnnotationAutomated pipelinePipelineHip radiographsRadiographic appearanceDeepImagesTotal hip arthroplasty
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply