Figure 4 | Scientific Reports

Figure 4

From: Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques

Figure 4

Flow diagram for outliers detection: the first step consists in applying the outlier’s detection methods. Based on the results, the second step consists in classifying the samples as atypical or normal. The third step consists in training a logistic regression model to classify IDC/nonIDC patches on the atypical-free datasets. Finally, the last step consists in selecting the best model based on the MSE criterion (the classification performance of the RLog model).

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