Figure 8From: Histological image classification using biologically interpretable shape-based features Evaluation of classification performance using nested cross-validation (CV). Internal cross-validation (CV) estimates optimal classifier model parameters over three folds and 10 iterations. The parameters optimized include SVM kernel, SVM cost, number of features and number of harmonics. External CV evaluates the optimal model by classifying independent samples.Back to article page