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Copyright ©The Author(s) 2021.
World J Gastroenterol. Oct 14, 2021; 27(38): 6399-6414
Published online Oct 14, 2021. doi: 10.3748/wjg.v27.i38.6399
Table 1 Comparison between different types of machine learning approaches used in studies focused on polyp detection and classification
Characteristics
Support vector machine
Random forest
Decision trees
Deep neural networks
Context
Ref.
High dimensional dataHighHighModerateHighPerformanceShen et al[12]; Goodfellow et al[26]
Overlapped classesLowLowLowHigh
Imbalance datasetsModerateHighLowModerate
Non-linear dataModerateHighModerateHigh
Larger datasetModerate1High1LowHigh
OutliersModerateModerateLowHighRobustnessShen et al[12]; Yu et al[20]
Over-fittingModerateHighLowHigh
Handling of missing valuesPoorGoodGoodGood
ReproducibilityHighHighHighModerateComplexityYu et al[20]
InterpretabilityModerateModerateHighLow