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Subtle lung cancers: impact of edge enhancement and gray scale reversal on detection with digitized chest radiographs.
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1988
Year
EngineeringDiagnostic ImagingGray Scale ReversalImage AnalysisRoc AreaModerate EnhancementDigitized Chest RadiographsSubtle Lung CancersRadiation OncologyRadiologyHealth SciencesMedical ImagingMedical Image ComputingLung CancerBiomedical ImagingComputer-aided DiagnosisClinical ImageOncologyMedical Image Analysis
The authors studied the impact of edge enhancement and gray scale polarity reversal on the detection of subtle lung cancers. Three experienced readers reviewed 46 biopsy-proved subtle lung cancers and 46 normal controls on chest radiographs that had been digitized into a 1,024 X 1,536-pixel matrix 8 bits deep. Receiver-operating characteristics (ROC) analysis of 1,656 pooled observations indicated that performance was best with the unmodified images (ROC area = 0.83), degraded by moderate enhancement of medium frequencies (ROC area = 0.80), and markedly impaired by severe enhancement of low frequencies (ROC area = 0.69). Gray scale polarity reversal further degraded performance (unenhanced ROC area = 0.74; moderately enhanced ROC area = 0.76; severely enhanced ROC area = 0.76). The authors conclude that edge enhancement and gray scale polarity reversal can impair the detectability of subtle lung cancers on digitized radiographs of medium resolution.