Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence
Ye W, Gu W, Guo X, Yi P, Meng Y, Han F, Yu L, Chen Y, Zhang G, Wang X. Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence. BioMedical Engineering OnLine 2019, 18: 6. PMID: 30670024, PMCID: PMC6343356, DOI: 10.1186/s12938-019-0627-4.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDatabases, FactualDeep LearningDiagnosis, Computer-AssistedFalse Positive ReactionsHumansImage Processing, Computer-AssistedLungLung NeoplasmsRadiographic Image Interpretation, Computer-AssistedRadiologyReproducibility of ResultsSensitivity and SpecificitySolitary Pulmonary NoduleTomography, X-Ray ComputedConceptsDeep learningF-scoreLung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) databaseMethod of deep learningArtificial intelligence systemsInput imageNetwork trainingDetect pulmonary nodulesIdentification of lung nodulesIntelligent systemsNodule classificationGround-glass opacity imagesPreprocessing methodsDetect ground-glass opacitiesEvaluation resultsLearningAccuracyAlexNetResNet50PreprocessingImagesThree-dimensional featuresGround-glass opacitiesNetworkFeatures