Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation.

•Uncertainty enables deep learning frameworks to be adopted into clinical workflows.•Uncertainty reflects challenge of small lesion detection, lesion contour segmentation.•MC dropout uncertainty measures correlate with incorrect predictions.