Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis
Fig 5
Sample saliency maps showing several regions guiding the model, on sagittal and transversal planes.
The redder the pixel, the more it contributed to the prediction. The model focused on the corpus callosum (A, green arrow), cerebellum (A, purple arrow), brain stem (B, green and purple arrows), and temporal lobe around Sylvian fisure (D, green arrows). The enhanced basal meninges and tuberculomas (orange arrows) did not provide a strong contribution to the decision.