Table 6 Performance metrics of three-class classification in 1D and 2D modes using the SVM classifier (FDR: false discovery Rate).
From: Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images
Processing Mode | Performance Metric | Value (mean ± std) |
|---|---|---|
Two-dimensional (2D) | Sensitivity | 98.42% ± 0.5% |
Specificity | 99.23% ± 0.2% | |
Precision | 98.45% ± 0.5% | |
F1-score | 98.43% ± 0.5% | |
FDR | 1.5% ± 0.5% | |
One-dimensional (1D) | Sensitivity | 93.23% ± 1.8% |
Specificity | 96.72% ± 0.2% | |
Precision | 93.45% ± 1.5% | |
F1-score | 93.27% ± 1.7% | |
FDR | 6.5% ± 1.6% |
