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. 2022 Dec 21;9(1):3. doi: 10.3390/jimaging9010003

Figure 3.

Figure 3

Train and validation results of 10th fold from proposed DICNN. (a) Depicts 99.36 ± 0.62% training accuracy and 99.30 ± 0.94% validation accuracy. (b) Conveys 0.19 ± 0.31 of training loss and 0.092 ± 0.13 of validation loss.