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Original Articles

USING A NEURAL NETWORK FOR SUPPORTING RADIOGRAPHIC DIAGNOSIS OF DENTAL CARIES

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Pages 872-882 | Published online: 16 Oct 2009

Figures & data

FIGURE 1 A typical plate of bitewing radiographs used to evaluation.

FIGURE 1 A typical plate of bitewing radiographs used to evaluation.

TABLE 1 Summary of Gold Standards for the Analyzed Surfaces: Number of Sound Proximal Surfaces, Surfaces with Enamel Caries, Caries in the Enamel-Dentine Junction, and Dentinal Caries

FIGURE 2 A typical microscopic evaluation of sectioned teeth (10 ×): (a) sound proximal surface; (b) carious proximal surface.

FIGURE 2 A typical microscopic evaluation of sectioned teeth (10 ×): (a) sound proximal surface; (b) carious proximal surface.

TABLE 2 Examiners' Answers Distribution

FIGURE 3 Architectural graph of the used artificial neuron network.

FIGURE 3 Architectural graph of the used artificial neuron network.

FIGURE 4 A graphic showing four ordinate pairs attached to four sets of diagnosis classifications.

FIGURE 4 A graphic showing four ordinate pairs attached to four sets of diagnosis classifications.

FIGURE 5 ROC curve obtained for the best examiner.

FIGURE 5 ROC curve obtained for the best examiner.

FIGURE 6 RBF network ROC curve.

FIGURE 6 RBF network ROC curve.

FIGURE 7 ROC curve areas for the 25 examiners in the vertical values and labels from 1 to 25 for each examiner in the horizontal axes. The horizontal line in this figure represents the ROC curve area for the RBF network.

FIGURE 7 ROC curve areas for the 25 examiners in the vertical values and labels from 1 to 25 for each examiner in the horizontal axes. The horizontal line in this figure represents the ROC curve area for the RBF network.

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