Table 8 Comparison of detection performance of YOLOv12n and Ours on brain tumor datasets(with 95% Cls).
From: High-accuracy brain tumor detection method based on deep learning
Dataset | Methods | Category | Precision (95% CI) | Recall (95% CI) | mAP@0.5 (95% CI) |
|---|---|---|---|---|---|
Brain Tumor | YOLOv12n | Meningioma | 96.8 (95.1–98.1) | 96.9 (95.0–98.3) | 98.3 (97.2–99.1) |
Pituitary_tumor | 96.2 (94.5–97.5) | 89.7 (87.0–92.0) | 97.1 (95.8–98.0) | ||
Glioma | 83.0 (80.0–85.5) | 73.1 (70.0–76.0) | 82.5 (80.0–84.8) | ||
All | 92.0 (90.5–93.3) | 86.5 (84.5–88.3) | 92.6 (91.0–93.9) | ||
Ours | Meningioma | 98.0 (96.8–98.9) | 97.6 (96.2–98.6) | 99.5 (98.8–99.9) | |
Pituitary_tumor | 98.5 (97.5–99.2) | 93.7 (91.5–95.5) | 98.0 (97.0–98.8) | ||
Glioma | 85.0 (82.5–87.2) | 74.0 (71.0–76.8) | 84.5 (82.2–86.5) | ||
All | 93.8 (92.5–94.9) | 88.0 (86.2–89.6) | 94.0 (92.8–95.0) |
