Table 5.
Average computational cost (measured in second) for feature extraction (including sparse feature encoding) on images with size 1000 × 1000 pixels. The evaluation is carried out with Intel(R) Xeon(R) CPU X5365 @ 3.00GHz, and GeForce GTX 580.
| Feature Extraction Component(s) | Average Computational Cost (in second) |
|---|---|
| Nuclear Segmentation | 40 |
| CMF-SFE | 42 = Nuclear-Segmentation-Cost(40) + SFE-Cost(2) |
| DPSD-SFE | 115 = DPSD-Cost(95) + SFE-Cost(20) |
| SPSD-SFE | 70 = SPSD-Cost(60) + SFE-Cost(10) |
| DSIFT-SFE | 16 = DSIFT-Cost(10) + SFE-Cost(6) |
| SSIFT-SFE | 47 = SSIFT-Cost(45) + SFE-Cost(2) |
| DCT-SFE | 90 = DCT-Cost(80) + SFE-Cost(10) |
| SCT-SFE | 108 = SCT-Cost(105) + SFE-Cost(3) |
| CMF | 40 = Nuclear-Segmentation-Cost(40) |
| DPSD | 95 |
| SPSD | 60 = Nuclear-Segmentation-Cost(40) + PSD-Cost(20) |
| DSIFT | 10 |
| SSIFT | 45 = Nuclear-Segmentation-Cost(40)+SIFT-Cost(5) |
| DCT | 80 |
| SCT | 105 = Nuclear-Segmentation-Cost(40) + SCT-Cost(65) |
| StackedPSD | 100 |
| AlexNet | 1200/180 (CPU-Only/GPU-Acceleration) |