2019
Classification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network
Carter RE, Attia ZI, Geske JR, Conners AL, Whaley DH, Hunt KN, O’Connor M, Rhodes DJ, Hruska CB. Classification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network. JCO Clinical Cancer Informatics 2019, 3: 1-11. PMID: 30807208, PMCID: PMC6446086, DOI: 10.1200/cci.18.00133.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBreastBreast NeoplasmsFemaleHumansImage Interpretation, Computer-AssistedMammographyMolecular ImagingNeural Networks, ComputerParenchymal TissueRadionuclide ImagingRadiopharmaceuticalsRisk AssessmentRisk FactorsConceptsConvolutional neural networkNeural networkDeep learning modelsImage convolutionLearning modelModel performanceBackground parenchymal uptakeTesting dataComputer algorithmAlgorithmExpert radiologistsNetworkDirect matchingDirect matchAccuracyImagesClassificationResearch purposesPerformanceBreast imagingConvolutionEncodingMatchingModelingTraining
2012
Lexicon for standardized interpretation of gamma camera molecular breast imaging: observer agreement and diagnostic accuracy
Conners AL, Hruska CB, Tortorelli CL, Maxwell RW, Rhodes DJ, Boughey JC, Berg WA. Lexicon for standardized interpretation of gamma camera molecular breast imaging: observer agreement and diagnostic accuracy. European Journal Of Nuclear Medicine And Molecular Imaging 2012, 39: 971-982. PMID: 22289959, DOI: 10.1007/s00259-011-2054-z.Peer-Reviewed Original ResearchBreastFemaleHumansImage Interpretation, Computer-AssistedMammographyMolecular ImagingObserver VariationRadionuclide ImagingReference StandardsSensitivity and SpecificityTerminology as Topic