Fig. 3: The performance comparison of various deep learning models on the five-fold cross-validation dataset is presented. | npj Precision Oncology

Fig. 3: The performance comparison of various deep learning models on the five-fold cross-validation dataset is presented.

From: An integrated MRI-based diagnostic framework for glioma with incomplete imaging sequences and imperfect annotations

Fig. 3: The performance comparison of various deep learning models on the five-fold cross-validation dataset is presented.

a Provides a multidimensional performance comparison of different deep learning models in predicting molecular features and pathology types. b Displays the confusion matrices for pathology types diagnosis, where diagonal elements represent the proportion of correctly classified samples, and off-diagonal elements indicate the proportion of misclassified samples.

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