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Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation

Image AnalysisMachine LearningData ScienceEngineeringPattern RecognitionBrain Lesion SegmentationMedical Image ComputingMachine Learning ToolFeature ExtractionNeuroimagingNeuroscienceBrain LesionClassifier SystemDeep LearningRbm-random Forest SystemImage SegmentationComputer Vision