Fig. 1From: Relaxometric learning: a pattern recognition method for T2 relaxation curves based on machine learning supported by an analytical frameworkAnalytical flow of relaxation curve data during relaxometric learning. Compressive force data analyzed by HCA were used as explanatory variables for the analyses of T2 relaxation curves in a data-driven manner. The relaxation curves were preprocessed and analyzed by ML incorporating an analytical framework including a variable optimization approach and bootstrap resampling-based matrixing. The results obtained for each classifier were finally integrated, similar to that in ensemble learningBack to article page