Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review
Subramanian H, Dey R, Brim WR, Tillmanns N, Petersen G, Brackett A, Mahajan A, Johnson M, Malhotra A, Aboian M. Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review. Frontiers In Oncology 2021, 11: 788819. PMID: 35004312, PMCID: PMC8733688, DOI: 10.3389/fonc.2021.788819.Peer-Reviewed Original ResearchMachine learningIdentification of gliomasNovel machine learning methodMachine learning methodsAccuracy of algorithmsFive-fold cross validationDeep learningArtificial intelligenceGlioma imagesAlgorithm trainingNeural networkHeterogeneous datasetsLearning methodsAlgorithm testingTRIPOD criteriaNormal imagesAlgorithm developmentSame datasetAbnormal imagesDatasetLimited datasetAlgorithmSingle-institution datasetCross validationLearning
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply