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European Radiology Experimental
Fig. 2 | European Radiology Experimental

Fig. 2

From: Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

Fig. 2

ROC and PR curves for the deep learning model on the CQ500 dataset. The top two graphs show the ROC curves (a intracranial haemorrhage; b each haemorrhage subtype). The bottom two graphs show the PR curves (c intracranial haemorrhage; d each haemorrhage subtype). Ninety-five per cent confidence intervals are provided in parentheses for each AUC. AUC Area under the curve, EDH Extradural haemorrhage, ICH Intracerebral haemorrhage, IVH Intraventicular haemorrhage, PR Precision-recall, ROC Receiver operating characteristic, SAH Subarachnoid haemorrhage, SDH Subdural  haemorrhage

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