From: Examination of blood samples using deep learning and mobile microscopy
Framework | Dataset | Ø mAP ± σ | Ø mAR ± σ | ||||||
---|---|---|---|---|---|---|---|---|---|
All | RBC | WBC | PLT | All | RBC | WBC | PLT | ||
Mask R-CNN | v | 0.43 ± 0.02 | 0.46 ± 0.02 | 0.68 ± 0.06 | 0.15 ± 0.01 | 0.46 ± 0.02 | 0.48 ± 0.02 | 0.72 ± 0.06 | 0.18 ± 0.02 |
t | 0.47 ± 0.01 | 0.60 ± 0.01 | 0.65 ± 0.02 | 0.16 ± 0.02 | 0.50 ± 0.01 | 0.63 ± 0.01 | 0.67 ± 0.02 | 0.18 ± 0.02 | |
MS R-CNN | v | 0.67 ± 0.01 | 0.53 ± 0.02 | 0.91 ± 0.01 | 0.56 ± 0.00 | 0.69 ± 0.01 | 0.54 ± 0.02 | 0.93 ± 0.01 | 0.59 ± 0.02 |
t | 0.48 ± 0.02 | 0.58 ± 0.01 | 0.57 ± 0.06 | 0.28 ± 0.01 | 0.53 ± 0.01 | 0.63 ± 0.01 | 0.61 ± 0.05 | 0.36 ± 0.02 | |
D2Det | v | 0.42 ± 0.04 | 0.56 ± 0.02 | 0.46 ± 0.05 | 0.24 ± 0.07 | 0.47 ± 0.04 | 0.60 ± 0.02 | 0.51 ± 0.05 | 0.30 ± 0.07 |
 | t | 0.44 ± 0.01 | 0.61 ± 0.02 | 0.45 ± 0.01 | 0.25 ± 0.03 | 0.49 ± 0.01 | 0.65 ± 0.02 | 0.50 ± 0.01 | 0.33 ± 0.04 |
YOLACT | v | 0.45 ± 0.03 | 0.42 ± 0.02 | 0.71 ± 0.08 | 0.24 ± 0.05 | 0.49 ± 0.03 | 0.44 ± 0.02 | 0.74 ± 0.07 | 0.28 ± 0.09 |
 | t | 0.50 ± 0.01 | 0.56 ± 0.02 | 0.67 ± 0.02 | 0.28 ± 0.03 | 0.55 ± 0.00 | 0.60 ± 0.01 | 0.69 ± 0.02 | 0.37 ± 0.04 |