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 ResearchConceptsConvolutional neural networkNeural networkDeep learning modelsImage convolutionLearning modelModel performanceBackground parenchymal uptakeTesting dataComputer algorithmAlgorithmExpert radiologistsNetworkDirect matchingDirect matchAccuracyImagesClassificationResearch purposesPerformanceBreast imagingConvolutionEncodingMatchingModelingTraining
2003
Evaluation of a small cadmium zinc telluride detector for scintimammography.
Mueller B, O'Connor MK, Blevis I, Rhodes DJ, Smith R, Collins DA, Phillips SW. Evaluation of a small cadmium zinc telluride detector for scintimammography. Journal Of Nuclear Medicine 2003, 44: 602-9. PMID: 12679406.Peer-Reviewed Original ResearchConceptsSmall glass spheresCZT detectorsCadmium zinc telluride detectorsGlass spheresWater tankDetector elementsCZT systemBreast phantom imagesEffect of variationTelluride detectorIntegral uniformitySpatial resolutionSuperior performanceField of viewSmall spheresCameraConventional gamma cameraPhantom modelLarge fieldPerformanceResolution collimatorEnergy resolutionRange 0CollimatorTank