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CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks

Fig 5

ROC curves of CheXLocNets on testing set.

Each plot illustrates the ROC curves of CheXLocNets on the testing set. The ROC curve of the algorithm is generated by varying the discrimination threshold (used to convert the output probabilities to binary predictions). ROC, receiver operating characteristic.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0242013.g005