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. 2024 Feb 19;18:1288274. doi: 10.3389/fnins.2024.1288274

Table 2.

Indicators for the classification of a single model.

Dataset Model Tumor type Precision Recall F1-score Accuracy
Dataset 1 ResNet101 Glioma 96.19% 97.54% 96.86%
Meningioma 94.16% 91.49% 92.81%
Pituitary 98.92% 98.92% 98.92%
average 96.43% 95.99% 96.20% 96.57%
DenseNet121 Glioma 99.65% 98.60% 99.12%
Meningioma 95.21% 98.58% 96.86%
Pituitary 99.46% 98.39% 98.92%
average 98.10% 98.52% 98.30% 98.53%
EfficientNetB0 Glioma 96.86% 97.54% 97.20%
Meningioma 92.91% 92.91% 92.91%
Pituitary 98.37% 97.31% 97.84%
average 96.05% 95.92% 95.98% 96.41%
Dataset 2 ResNet101 Glioma 95.29% 98.38% 96.81%
Meningioma 97.08% 88.77% 92.74%
NoTumor 93.46% 100.0% 96.62%
Pituitary 96.17% 97.78% 96.97%
Average 95.50% 96.23% 95.78% 95.71%
DenseNet121 Glioma 96.24% 96.76% 96.50%
Meningioma 96.57% 90.37% 93.37%
NoTumor 84.75% 100.0% 91.74%
Pituitary 100.0% 96.11% 98.02%
Average 94.39% 95.81% 94.91% 95.25%
EfficientNetB0 Glioma 94.65% 95.68% 95.16%
Meningioma 93.96% 91.44% 92.68%
NoTumor 96.04% 97.00% 96.52%
Pituitary 97.25% 98.33% 97.79%
Average 95.48% 95.61% 95.54% 95.40%