. 2023 Jun 14;10:380. doi: 10.1038/s41597-023-02237-5

Table 5.

Experimental results for the adult datasets, trained exclusively on the adult dental dataset (1500 training images, 276 test images).

	Recall		Specificity		ACC		IOU		Dice
	mean	std	mean	std	mean	std	mean	std	mean	std
U-Net²²	0.9459	0.0231	0.9795	0.0119	0.9719	0.0083	0.8858	0.0274	0.9392	0.0162
R2 U-Net²³	0.9351	0.0268	0.9838	0.0112	0.9724	0.0079	0.8892	0.0264	0.9411	0.0156
PSPNet²⁴	0.9164	0.0175	0.9827	0.0044	0.9670	0.0063	0.8693	0.0201	0.9299	0.0122
Deeplab V3+²⁵	0.9465	0.0218	0.9721	0.0130	0.9665	0.0088	0.8639	0.0284	0.9267	0.0171

Evaluation metrics include Recall, Specificity, Accuracy, Intersection over Union (IOU), and Dice index, with mean and standard deviation (std) values provided.