Fig. 4 | Scientific Reports

Fig. 4

From: Automated detection and classification of cervical and anal squamous cancer precursors using deep learning and multidevice colposcopy

Fig. 4

1—Area under the conventional receiver operating characteristic curve, 2—Area under the precision-recall curve (AUC-PR) of CNN performance in differentiation HSIL from LSIL in cervical and anal colposcopic/anoscopic still frames. In this case, sensitivity (or recall) is the proportion of HSIL cases that were correctly identified by the CNN. Specificity is the proportion of LSIL cases that were correctly identified. Precision is the proportion of correct predictions (both HSIL and LSIL) out of all predictions made by the CNN.

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