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. 2022 Jan 21;17(1):e0262052. doi: 10.1371/journal.pone.0262052

Table 1. Hyper-parameters of the build CNN model and preferred weights in this study.

R1 R2 R3 R4 R5 R6 R7 R8
CNN 224*224 RMSprop 32 10-fold 3e-4 BCE
CCE
50

R1—Model, R2—Image Size, R3—Optimizers, R4—Mini Batch Size, R5—cross validation, R6—Initial Learning Rate, R7—Loss function, R8—Epoch, BCE—Binary cross-entropy, CCE—Categorical cross-entropy.