Fig. 2 | Scientific Reports

Fig. 2

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

Fig. 2

Examples of how the algorithm estimated probability of being LSIL (low-grade intraepithelial squamous lesion) vs HSIL (high-grade intraepithelial squamous lesion). Every frame was categorized into one of the previously mentioned categories based on which had the highest probability. The classification provided by the Convolutional Neural Network (CNN) was then compared to the histopathological classification (upper left corner), which was considered the gold standard. Blue bars represent correct CNN predictions, while red bars represent wrong ones.

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