2020
Supervised Machine Learning in Oncology: A Clinician's Guide
Murali N, Kucukkaya A, Petukhova A, Onofrey J, Chapiro J. Supervised Machine Learning in Oncology: A Clinician's Guide. Digestive Disease Interventions 2020, 04: 073-081. PMID: 32869010, PMCID: PMC7456427, DOI: 10.1055/s-0040-1705097.Peer-Reviewed Original ResearchMachine learningSupervised machineSupervised machine learning methodsNew data processing technologiesLarge volume dataData processing technologySupervised machine learningMachine learning methodsSelf-improving modelElectronic health recordsLearning methodsHealth recordsComputer algorithmWidespread adoptionLearningMeaningful insightsMachineAlgorithmTechnologyTechniqueFrameworkInformationAdoptionDataApplications
2018
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework
Zhang F, Yang J, Nezami N, Laage-gaupp F, Chapiro J, De Lin M, Duncan J. Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. Lecture Notes In Computer Science 2018, 11075: 59-66. PMID: 32432233, PMCID: PMC7236808, DOI: 10.1007/978-3-030-00500-9_7.Peer-Reviewed Original ResearchNeural networkNovel deep convolutional neural networkStandard neural network approachesTraining frameworkDeep convolutional neural networkU-Net-like architectureTissue classificationConvolutional neural networkDeep neural networksNeural network approachSegmentation masksBenchmark methodsNetwork approachPatch-based strategyLearning spacesLiver tissue classificationMagnetic resonance imagesPromising resultsNetworkImagesPredictive modelClassificationFrameworkResonance imagesArchitecture